feat(podcast): add pre-estimate endpoint, enhance cost estimator with multi-model support, cleanup alpha pricing seeding
- 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
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backend/api/podcast/prompts/__init__.py
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backend/api/podcast/prompts/__init__.py
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"""
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Prompts module for podcast topic enhancement.
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"""
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from .website_enhance_prompts import (
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get_enhance_topic_prompt,
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format_website_context,
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STANDARD_ENHANCE_PROMPT,
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WEBSITE_AWARE_ENHANCE_PROMPT,
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)
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from services.podcast_context_builder import (
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PodcastContextBuilder,
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context_builder,
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)
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__all__ = [
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"get_enhance_topic_prompt",
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"format_website_context",
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"STANDARD_ENHANCE_PROMPT",
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"WEBSITE_AWARE_ENHANCE_PROMPT",
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"PodcastContextBuilder",
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"context_builder",
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]
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backend/api/podcast/prompts/website_enhance_prompts.py
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backend/api/podcast/prompts/website_enhance_prompts.py
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"""
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Website-aware prompts for podcast topic enhancement.
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This module provides prompts for enhancing podcast topics with optional
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website extraction data for richer context.
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"""
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from typing import Dict, Any, Optional
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from string import Template
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# Standard prompt for when no website data is available
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STANDARD_ENHANCE_PROMPT = Template("""">You are a creative podcast producer. Generate 3 distinct, compelling podcast episode concepts from the raw idea.
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${bible_context}
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RAW IDEA/KEYWORDS: "$idea"
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TASK:
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Generate 3 different enhanced versions, each with a unique angle:
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1. Professional & Expert-led angle (focus on authority, insights, and expertise)
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2. Storytelling & Human interest angle (focus on narratives, emotions, and personal connections)
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3. Trendy & Contemporary angle (focus on current trends, modern perspectives, and relevance)
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Each version should be 2-3 sentences, audience-focused, and align with host persona if provided.
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Return JSON with:
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- enhanced_ideas: array of 3 strings, each string being a complete episode pitch (NOT objects, just plain strings)
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- rationales: array of 3 strings explaining the approach for each version
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IMPORTANT: enhanced_ideas must be an array of plain strings, NOT objects. Example:
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{
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"enhanced_ideas": [
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"Your expert guide to AI advancement: A practical look at how AI is transforming industries...",
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"The human stories behind AI innovation: From Silicon Valley to your daily life...",
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"AI in 2026: What's trending and what's next in artificial intelligence..."
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],
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"rationales": [
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"Professional approach focusing on expertise and authority",
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"Storytelling approach emphasizing human connection",
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"Contemporary approach highlighting current relevance"
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]
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}
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""")
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# Website-aware prompt for when website data is available
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WEBSITE_AWARE_ENHANCE_PROMPT = Template("""">You are a creative podcast producer. Generate 3 distinct, compelling podcast episode concepts from the raw idea, enriched with website content analysis.
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${bible_context}
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WEBSITE CONTENT ANALYSIS:
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${website_context}
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RAW IDEA/KEYWORDS: "$idea"
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TASK:
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Generate 3 different enhanced versions, each with a unique angle, that INCORPORATE the website content context:
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1. Professional & Expert-led angle (focus on authority, insights, and expertise from the website)
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2. Storytelling & Human interest angle (focus on narratives, emotions, and personal connections tied to the brand)
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3. Trendy & Contemporary angle (focus on current trends, modern perspectives, and relevance leveraging the site's focus areas)
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Each version should:
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- Be 2-3 sentences
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- Reference specific elements from the website content when relevant
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- Be audience-focused and align with host persona if provided
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- NOT just repeat the website summary - create fresh podcast angles
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Return JSON with:
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- enhanced_ideas: array of 3 strings, each string being a complete episode pitch (NOT objects, just plain strings)
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- rationales: array of 3 strings explaining the approach for each version
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IMPORTANT: enhanced_ideas must be an array of plain strings, NOT objects. Example:
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{
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"enhanced_ideas": [
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"Your expert guide to AI advancement: A practical look at how AI is transforming industries...",
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"The human stories behind AI innovation: From Silicon Valley to your daily life...",
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"AI in 2026: What's trending and what's next in artificial intelligence..."
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],
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"rationales": [
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"Professional approach focusing on expertise and authority",
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"Storytelling approach emphasizing human connection",
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"Contemporary approach highlighting current relevance"
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]
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}
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""")
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def get_enhance_topic_prompt(
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idea: str,
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bible_context: str = "",
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website_data: Optional[Dict[str, Any]] = None
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) -> str:
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"""
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Returns the appropriate prompt based on available context.
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Args:
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idea: The raw podcast idea or keywords
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bible_context: Optional Podcast Bible context string
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website_data: Optional website extraction data
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Returns:
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Formatted prompt string with appropriate context
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"""
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# Build bible context section
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bible_section = f"USER PERSONALIZATION CONTEXT (Podcast Bible):\n{bible_context}\n" if bible_context else ""
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if website_data:
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# Build website context section
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website_context_parts = []
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if website_data.get('url'):
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website_context_parts.append(f"Source: {website_data.get('url')}")
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if website_data.get('title'):
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website_context_parts.append(f"Company/Organization: {website_data.get('title')}")
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if website_data.get('summary'):
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website_context_parts.append(f"About: {website_data.get('summary')}")
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if website_data.get('highlights'):
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highlights_str = ', '.join(website_data.get('highlights', [])[:3])
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website_context_parts.append(f"Key Highlights: {highlights_str}")
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if website_data.get('subpages'):
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subpages_str = ', '.join([
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sp.get('title', sp.get('url', ''))
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for sp in website_data.get('subpages', [])[:3]
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])
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website_context_parts.append(f"Subpages: {subpages_str}")
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website_context_str = "\n".join(website_context_parts)
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return WEBSITE_AWARE_ENHANCE_PROMPT.substitute(
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idea=idea,
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bible_context=bible_section,
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website_context=website_context_str
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)
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else:
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return STANDARD_ENHANCE_PROMPT.substitute(
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idea=idea,
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bible_context=bible_section
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)
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def format_website_context(website_data: Dict[str, Any]) -> str:
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"""
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Format website data for inclusion in progress messages.
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Args:
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website_data: Website extraction data
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Returns:
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Formatted string describing what's being used
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"""
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parts = []
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if website_data.get('title'):
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parts.append(f"• {website_data['title']}")
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if website_data.get('summary'):
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summary_preview = website_data['summary'][:100]
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parts.append(f"• Summary: {summary_preview}...")
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if website_data.get('highlights'):
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parts.append(f"• {len(website_data['highlights'])} key highlights")
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if website_data.get('subpages'):
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parts.append(f"• {len(website_data['subpages'])} subpages analyzed")
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if website_data.get('url'):
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parts.append(f"• Source: {website_data['url']}")
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return "\n".join(parts) if parts else "Basic website analysis"
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if website_data.get('title'):
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parts.append(f"• {website_data['title']}")
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if website_data.get('summary'):
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summary_preview = website_data['summary'][:100]
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parts.append(f"• Summary: {summary_preview}...")
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if website_data.get('highlights'):
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parts.append(f"• {len(website_data['highlights'])} key highlights")
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if website_data.get('subpages'):
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parts.append(f"• {len(website_data['subpages'])} subpages analyzed")
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if website_data.get('url'):
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parts.append(f"• Source: {website_data['url']}")
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return "\n".join(parts) if parts else "Basic website analysis"
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