WIP: AI Podcast Maker and YouTube Creator Studio integration

backend/models/content_asset_models.py

@@ -48,6 +48,9 @@ class AssetSource(enum.Enum):
     # Product Marketing Suite
     PRODUCT_MARKETING = "product_marketing"
 
+    # Podcast Maker
+    PODCAST_MAKER = "podcast_maker"
+
 
 class ContentAsset(Base):
     """

backend/models/podcast_models.py

@@ -0,0 +1,65 @@
+"""
+Podcast Maker Models
+
+Database models for podcast project persistence and state management.
+"""
+
+from sqlalchemy import Column, Integer, String, DateTime, Float, Boolean, JSON, Text, Index
+from sqlalchemy.ext.declarative import declarative_base
+from datetime import datetime
+
+# Use the same Base as subscription models for consistency
+from models.subscription_models import Base
+
+
+class PodcastProject(Base):
+    """
+    Database model for podcast project state.
+    Stores complete project state to enable cross-device resume.
+    """
+    
+    __tablename__ = "podcast_projects"
+    
+    # Primary fields
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    project_id = Column(String(255), unique=True, nullable=False, index=True)  # User-facing project ID
+    user_id = Column(String(255), nullable=False, index=True)  # Clerk user ID
+    
+    # Project metadata
+    idea = Column(String(1000), nullable=False)  # Episode idea or URL
+    duration = Column(Integer, nullable=False)  # Duration in minutes
+    speakers = Column(Integer, nullable=False, default=1)  # Number of speakers
+    budget_cap = Column(Float, nullable=False, default=50.0)  # Budget cap in USD
+    
+    # Project state (stored as JSON)
+    # This mirrors the PodcastProjectState interface from frontend
+    analysis = Column(JSON, nullable=True)  # PodcastAnalysis
+    queries = Column(JSON, nullable=True)  # List[Query]
+    selected_queries = Column(JSON, nullable=True)  # Array of query IDs
+    research = Column(JSON, nullable=True)  # Research object
+    raw_research = Column(JSON, nullable=True)  # BlogResearchResponse
+    estimate = Column(JSON, nullable=True)  # PodcastEstimate
+    script_data = Column(JSON, nullable=True)  # Script object
+    render_jobs = Column(JSON, nullable=True)  # List[Job]
+    knobs = Column(JSON, nullable=True)  # Knobs settings
+    research_provider = Column(String(50), nullable=True, default="google")  # Research provider
+    
+    # UI state
+    show_script_editor = Column(Boolean, default=False)
+    show_render_queue = Column(Boolean, default=False)
+    current_step = Column(String(50), nullable=True)  # 'create' | 'analysis' | 'research' | 'script' | 'render'
+    
+    # Status
+    status = Column(String(50), default="draft", nullable=False, index=True)  # draft, in_progress, completed, archived
+    is_favorite = Column(Boolean, default=False, index=True)
+    
+    # Timestamps
+    created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False, index=True)
+    
+    # Composite indexes for common query patterns
+    __table_args__ = (
+        Index('idx_user_status_created', 'user_id', 'status', 'created_at'),
+        Index('idx_user_favorite_updated', 'user_id', 'is_favorite', 'updated_at'),
+    )
+

backend/models/product_asset_models.py

@@ -74,8 +74,9 @@ class ProductAsset(Base):
     created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True)
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
     
-    # Additional metadata
-    metadata = Column(JSON, nullable=True)  # Additional product-specific metadata
+    # Additional metadata (renamed from 'metadata' to avoid SQLAlchemy reserved name conflict)
+    # Using 'product_metadata' as column name in DB to avoid conflict with SQLAlchemy's reserved 'metadata' attribute
+    product_metadata = Column('product_metadata', JSON, nullable=True)  # Additional product-specific metadata
     
     # Composite indexes
     __table_args__ = (