Add versioned podcast asset metadata schema and backfill script

backend/api/podcast/handlers/audio.py

@@ -26,6 +26,7 @@ from services.database import get_db
 from middleware.auth_middleware import get_current_user, get_current_user_with_query_token
 from api.story_writer.utils.auth import require_authenticated_user
 from utils.asset_tracker import save_asset_to_library
+from models.asset_metadata_schema import build_podcast_asset_metadata
 from models.story_models import StoryAudioResult
 from loguru import logger
 from ..constants import get_podcast_audio_service, get_podcast_media_dir
@@ -217,11 +218,11 @@ async def upload_podcast_audio(
                     title=f"Uploaded Audio - {project_id}",
                     description="Uploaded podcast audio/voice sample",
                     tags=["podcast", "audio", "upload", project_id],
-                    asset_metadata={
-                        "project_id": project_id,
-                        "type": "uploaded_audio",
-                        "status": "completed",
-                    },
+                    asset_metadata=build_podcast_asset_metadata(
+                        asset_role="uploaded_audio",
+                        project_id=project_id,
+                        origin="podcast.audio.upload",
+                    ),
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save audio asset: {e}")
@@ -455,11 +456,12 @@ async def generate_podcast_audio(
                 provider=result.get("provider"),
                 model=result.get("model"),
                 cost=result.get("cost"),
-                asset_metadata={
-                    "scene_id": request.scene_id,
-                    "scene_title": request.scene_title,
-                    "status": "completed",
-                },
+                asset_metadata=build_podcast_asset_metadata(
+                    asset_role="podcast_audio",
+                    project_id=request.project_id,
+                    origin="podcast.audio.generate",
+                    extras={"scene_id": request.scene_id, "scene_title": request.scene_title},
+                ),
             )
     except Exception as e:
         logger.warning(f"[Podcast] Failed to save audio asset: {e}")
@@ -621,13 +623,12 @@ async def combine_podcast_audio(
                     title=f"Combined Podcast - {request.project_id}",
                     description=f"Combined podcast audio from {len(request.scene_ids)} scenes",
                     tags=["podcast", "audio", "combined", request.project_id],
-                    asset_metadata={
-                        "project_id": request.project_id,
-                        "scene_ids": request.scene_ids,
-                        "scene_count": len(request.scene_ids),
-                        "total_duration": total_duration,
-                        "status": "completed",
-                    },
+                    asset_metadata=build_podcast_asset_metadata(
+                        asset_role="combined_podcast_audio",
+                        project_id=request.project_id,
+                        origin="podcast.audio.combine",
+                        extras={"scene_ids": request.scene_ids, "scene_count": len(request.scene_ids), "total_duration": total_duration},
+                    ),
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save combined audio asset: {e}")

backend/api/podcast/handlers/avatar.py

@@ -18,6 +18,7 @@ from api.story_writer.utils.auth import require_authenticated_user
 from services.llm_providers.main_image_generation import generate_image
 from services.llm_providers.main_image_editing import edit_image
 from utils.asset_tracker import save_asset_to_library
+from models.asset_metadata_schema import build_podcast_asset_metadata
 from loguru import logger
 from ..constants import get_podcast_media_dir, PODCAST_AVATARS_SUBDIR
 from ..presenter_personas import choose_persona_id, get_persona
@@ -111,11 +112,11 @@ async def upload_podcast_avatar(
                     title=f"Podcast Presenter Avatar - {project_id}",
                     description="Podcast presenter avatar image",
                     tags=["podcast", "avatar", project_id],
-                    asset_metadata={
-                        "project_id": project_id,
-                        "type": "presenter_avatar",
-                        "status": "completed",
-                    },
+                    asset_metadata=build_podcast_asset_metadata(
+                        asset_role="presenter_avatar",
+                        project_id=project_id,
+                        origin="podcast.avatar.upload",
+                    ),
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save avatar asset (non-fatal): {e}")
@@ -223,12 +224,12 @@ async def make_avatar_presentable(
                     tags=["podcast", "avatar", "presenter", "transformed", project_id],
                     provider=result.provider,
                     model=result.model,
-                    asset_metadata={
-                        "project_id": project_id,
-                        "type": "transformed_presenter",
-                        "original_avatar_url": avatar_url,
-                        "status": "completed",
-                    },
+                    asset_metadata=build_podcast_asset_metadata(
+                        asset_role="transformed_presenter",
+                        project_id=project_id,
+                        origin="podcast.avatar.make_presentable",
+                        extras={"original_avatar_url": avatar_url},
+                    ),
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save transformed avatar asset: {e}")
@@ -404,14 +405,12 @@ async def generate_podcast_presenters(
                         tags=["podcast", "avatar", "presenter", project_id],
                         provider=result.provider,
                         model=result.model,
-                        asset_metadata={
-                            "project_id": project_id,
-                            "speaker_number": i + 1,
-                            "type": "generated_presenter",
-                            "status": "completed",
-                        "persona_id": selected_persona_id,
-                        "seed": seed,
-                        },
+                        asset_metadata=build_podcast_asset_metadata(
+                            asset_role="generated_presenter",
+                            project_id=project_id,
+                            origin="podcast.avatar.generate",
+                            extras={"speaker_number": i + 1, "persona_id": selected_persona_id, "seed": seed},
+                        ),
                     )
                 except Exception as e:
                     logger.warning(f"[Podcast] Failed to save presenter asset: {e}")

backend/api/podcast/handlers/images.py

@@ -16,6 +16,7 @@ from middleware.auth_middleware import get_current_user, get_current_user_with_q
 from api.story_writer.utils.auth import require_authenticated_user
 from services.llm_providers.main_image_generation import generate_image, generate_character_image
 from utils.asset_tracker import save_asset_to_library
+from models.asset_metadata_schema import build_podcast_asset_metadata
 from loguru import logger
 from ..constants import get_podcast_media_dir
 from ..models import PodcastImageRequest, PodcastImageResponse
@@ -417,11 +418,12 @@ async def generate_podcast_scene_image(
                 tags=["podcast", "scene", request.scene_id],
                 provider=result.provider,
                 model=result.model,
-                asset_metadata={
-                    "scene_id": request.scene_id,
-                    "scene_title": request.scene_title,
-                    "status": "completed",
-                },
+                asset_metadata=build_podcast_asset_metadata(
+                    asset_role="podcast_scene_image",
+                    project_id=request.project_id,
+                    origin="podcast.images.generate",
+                    extras={"scene_id": request.scene_id, "scene_title": request.scene_title},
+                ),
             )
         except Exception as e:
             logger.warning(f"[Podcast] Failed to save image asset: {e}")

backend/models/asset_metadata_schema.py

@@ -0,0 +1,76 @@
+"""Shared schema/builders for content asset metadata."""
+
+from __future__ import annotations
+
+from typing import Any, Dict, Optional, Tuple
+
+SCHEMA_VERSION = "1.0"
+PODCAST_FEATURE = "podcast_maker"
+
+REQUIRED_KEYS = (
+    "schema_version",
+    "feature",
+    "asset_role",
+    "project_id",
+    "status",
+    "origin",
+)
+
+
+def build_asset_metadata(
+    *,
+    feature: str,
+    asset_role: str,
+    project_id: Optional[str],
+    status: str,
+    origin: str,
+    extras: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    """Build normalized, versioned asset metadata payload."""
+    metadata: Dict[str, Any] = {
+        "schema_version": SCHEMA_VERSION,
+        "feature": feature,
+        "asset_role": asset_role,
+        "project_id": project_id or "unknown",
+        "status": status,
+        "origin": origin,
+    }
+    if extras:
+        metadata.update({k: v for k, v in extras.items() if v is not None})
+    return metadata
+
+
+def build_podcast_asset_metadata(
+    *,
+    asset_role: str,
+    project_id: Optional[str],
+    status: str = "completed",
+    origin: str,
+    extras: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    """Podcast-specific metadata builder."""
+    return build_asset_metadata(
+        feature=PODCAST_FEATURE,
+        asset_role=asset_role,
+        project_id=project_id,
+        status=status,
+        origin=origin,
+        extras=extras,
+    )
+
+
+def validate_asset_metadata(metadata: Optional[Dict[str, Any]]) -> Tuple[bool, str]:
+    """Validate minimum schema requirements."""
+    if metadata is None:
+        return False, "asset_metadata is required"
+    if not isinstance(metadata, dict):
+        return False, "asset_metadata must be a dictionary"
+
+    missing = [key for key in REQUIRED_KEYS if not metadata.get(key)]
+    if missing:
+        return False, f"asset_metadata missing required keys: {', '.join(missing)}"
+
+    if str(metadata.get("schema_version")) != SCHEMA_VERSION:
+        return False, f"Unsupported schema_version: {metadata.get('schema_version')}"
+
+    return True, "ok"

backend/scripts/backfill_podcast_asset_metadata.py

@@ -0,0 +1,63 @@
+"""Backfill recent podcast assets with normalized metadata schema."""
+
+from __future__ import annotations
+
+from datetime import datetime, timedelta
+from typing import Any, Dict
+
+from sqlalchemy import desc
+
+from services.database import SessionLocal
+from models.content_asset_models import ContentAsset, AssetSource
+from models.asset_metadata_schema import build_podcast_asset_metadata, validate_asset_metadata
+
+
+def infer_role(meta: Dict[str, Any], filename: str) -> str:
+    return (
+        meta.get("asset_role")
+        or meta.get("type")
+        or ("podcast_audio" if filename.lower().endswith((".mp3", ".wav", ".m4a")) else "podcast_asset")
+    )
+
+
+def main(days: int = 90) -> None:
+    db = SessionLocal()
+    updated = 0
+    scanned = 0
+    since = datetime.utcnow() - timedelta(days=days)
+    try:
+        assets = (
+            db.query(ContentAsset)
+            .filter(ContentAsset.source_module == AssetSource.PODCAST_MAKER)
+            .filter(ContentAsset.created_at >= since)
+            .order_by(desc(ContentAsset.created_at))
+            .all()
+        )
+
+        for asset in assets:
+            scanned += 1
+            meta = asset.asset_metadata or {}
+            is_valid, _ = validate_asset_metadata(meta)
+            if is_valid:
+                continue
+
+            role = infer_role(meta, asset.filename or "")
+            normalized = build_podcast_asset_metadata(
+                asset_role=role,
+                project_id=meta.get("project_id"),
+                status=meta.get("status", "completed"),
+                origin=meta.get("origin", "migration.backfill_podcast_asset_metadata"),
+                extras=meta,
+            )
+            asset.asset_metadata = normalized
+            db.add(asset)
+            updated += 1
+
+        db.commit()
+        print(f"Scanned={scanned} Updated={updated} Since={since.isoformat()}")
+    finally:
+        db.close()
+
+
+if __name__ == "__main__":
+    main()

backend/services/intelligence/agents/performance_monitor.py

@@ -99,58 +99,6 @@ class OptimizationRecommendation:
             expires = datetime.utcnow().timestamp() + (7 * 24 * 60 * 60)
             self.expires_at = datetime.fromtimestamp(expires).isoformat()
 
-
-
-@dataclass
-class EscalationVelocitySignal:
-    """Measured action velocity signal used for escalation tiering."""
-    window_minutes: int
-    action_count: int
-    actions_per_minute: float
-    triggered: bool
-
-
-class EscalationTier(Enum):
-    """Escalation tier derived from measurable action velocity."""
-    TIER_1 = "tier_1"
-    TIER_2 = "tier_2"
-    TIER_3 = "tier_3"
-
-
-class EscalationVelocityPolicy:
-    """Velocity-based trigger policy for escalation tiers."""
-
-    def __init__(self):
-        self.tier_thresholds = {
-            EscalationTier.TIER_1: {"window_minutes": 15, "actions_per_minute": 0.8},
-            EscalationTier.TIER_2: {"window_minutes": 10, "actions_per_minute": 1.5},
-            EscalationTier.TIER_3: {"window_minutes": 5, "actions_per_minute": 3.0},
-        }
-
-    def measure_velocity(self, events: List[Dict[str, Any]], now: Optional[datetime] = None) -> Dict[EscalationTier, EscalationVelocitySignal]:
-        now = now or datetime.utcnow()
-        signals: Dict[EscalationTier, EscalationVelocitySignal] = {}
-
-        for tier, cfg in self.tier_thresholds.items():
-            cutoff = now - timedelta(minutes=cfg["window_minutes"])
-            count = sum(1 for event in events if datetime.fromisoformat(event["timestamp"]) >= cutoff)
-            velocity = count / max(cfg["window_minutes"], 1)
-            signals[tier] = EscalationVelocitySignal(
-                window_minutes=cfg["window_minutes"],
-                action_count=count,
-                actions_per_minute=velocity,
-                triggered=velocity >= cfg["actions_per_minute"]
-            )
-
-        return signals
-
-    def determine_tier(self, events: List[Dict[str, Any]], now: Optional[datetime] = None) -> Tuple[Optional[EscalationTier], Dict[EscalationTier, EscalationVelocitySignal]]:
-        signals = self.measure_velocity(events, now=now)
-        for tier in [EscalationTier.TIER_3, EscalationTier.TIER_2, EscalationTier.TIER_1]:
-            if signals[tier].triggered:
-                return tier, signals
-        return None, signals
-
 class AgentPerformanceMonitor:
     """Main performance monitoring system for agents"""
     

backend/services/intelligence/agents/safety_framework.py

@@ -13,7 +13,6 @@ from enum import Enum
 
 from utils.logger_utils import get_service_logger
 from services.database import get_session_for_user
-from services.intelligence.agents.performance_monitor import EscalationVelocityPolicy, EscalationTier
 
 logger = get_service_logger(__name__)
 
@@ -85,25 +84,6 @@ class SafetyValidation:
         if self.validation_timestamp is None:
             self.validation_timestamp = datetime.utcnow().isoformat()
 
-
-
-@dataclass
-class EscalationDecision:
-    """Structured escalation payload for autonomous safety routing."""
-    tier: str
-    action: str
-    confidence: float
-    risk_class: str
-    rationale: str
-    velocity: Dict[str, Any]
-    lockout_auto_edits: bool
-    executor: Optional[str]
-    created_at: str = None
-
-    def __post_init__(self):
-        if self.created_at is None:
-            self.created_at = datetime.utcnow().isoformat()
-
 class SafetyConstraintManager:
     """Manages safety constraints for agent actions"""
     
@@ -112,11 +92,6 @@ class SafetyConstraintManager:
         self.constraints: Dict[str, SafetyConstraint] = {}
         self.action_history: List[Dict[str, Any]] = []
         self.violation_history: List[Dict[str, Any]] = []
-        self.escalation_policy = EscalationVelocityPolicy()
-        self.escalation_history: List[Dict[str, Any]] = []
-        self.auto_edit_lockout = False
-        self.executor_routes = {"tier_1": "autonomous_guardian_executor", "tier_2": "autonomous_recovery_executor"}
-        self.alert_history: List[Dict[str, Any]] = []
         
         # Initialize default constraints
         self._initialize_default_constraints()
@@ -238,7 +213,7 @@ class SafetyConstraintManager:
             # Record in history
             await self._record_validation_history(action_data, is_valid, violations)
             
-            validation = SafetyValidation(
+            return SafetyValidation(
                 is_valid=is_valid,
                 risk_level=risk_level,
                 violations=violations,
@@ -246,10 +221,6 @@ class SafetyConstraintManager:
                 requires_approval=requires_approval,
                 confidence_score=max(0.0, min(1.0, confidence_score))
             )
-            escalation = await self.evaluate_escalation(action_data, validation)
-            if escalation:
-                recommendations.append(f"Escalation action: {escalation.action} ({escalation.tier})")
-            return validation
             
         except Exception as e:
             logger.error(f"Error validating action for user {self.user_id}: {e}")
@@ -495,97 +466,6 @@ class SafetyConstraintManager:
             if len(self.violation_history) > 500:
                 self.violation_history = self.violation_history[-500:]
     
-    async def evaluate_escalation(self, action_data: Dict[str, Any], validation: SafetyValidation) -> Optional[EscalationDecision]:
-        """Evaluate velocity-triggered escalation and produce structured decision payload."""
-        if self.auto_edit_lockout:
-            decision = EscalationDecision(
-                tier=EscalationTier.TIER_3.value,
-                action="lockout_enforced",
-                confidence=1.0,
-                risk_class=RiskLevel.CRITICAL.value,
-                rationale="Tier 3 lockout already active; autonomous edits blocked until manual reset",
-                velocity={},
-                lockout_auto_edits=True,
-                executor=None
-            )
-            await self._persist_escalation_decision(decision, action_data, outcome={"status": "blocked_by_lockout"})
-            return decision
-
-        tier, signals = self.escalation_policy.determine_tier(self.action_history)
-        if not tier:
-            return None
-
-        risk_class_map = {EscalationTier.TIER_1: RiskLevel.MEDIUM.value, EscalationTier.TIER_2: RiskLevel.HIGH.value, EscalationTier.TIER_3: RiskLevel.CRITICAL.value}
-        confidence = min(1.0, max(0.1, 0.55 + (len(validation.violations) * 0.05) + ((1 - validation.confidence_score) * 0.4)))
-
-        velocity_signal = signals[tier]
-        velocity_payload = {
-            "window_minutes": velocity_signal.window_minutes,
-            "action_count": velocity_signal.action_count,
-            "actions_per_minute": round(velocity_signal.actions_per_minute, 4),
-            "threshold_actions_per_minute": self.escalation_policy.tier_thresholds[tier]["actions_per_minute"],
-        }
-
-        executor = self.executor_routes.get(tier.value)
-        action = "route_to_autonomous_executor" if tier in (EscalationTier.TIER_1, EscalationTier.TIER_2) else "lockout_autonomous_edits"
-        rationale = f"{tier.value} triggered by velocity {velocity_payload['actions_per_minute']}/min over {velocity_signal.window_minutes}m window"
-
-        decision = EscalationDecision(
-            tier=tier.value,
-            action=action,
-            confidence=round(confidence, 3),
-            risk_class=risk_class_map[tier],
-            rationale=rationale,
-            velocity=velocity_payload,
-            lockout_auto_edits=(tier == EscalationTier.TIER_3),
-            executor=executor if tier != EscalationTier.TIER_3 else None
-        )
-
-        outcome = await self._apply_escalation_decision(decision, action_data, validation)
-        await self._persist_escalation_decision(decision, action_data, outcome=outcome)
-        return decision
-
-    async def _apply_escalation_decision(self, decision: EscalationDecision, action_data: Dict[str, Any], validation: SafetyValidation) -> Dict[str, Any]:
-        if decision.tier in (EscalationTier.TIER_1.value, EscalationTier.TIER_2.value):
-            return {
-                "status": "routed",
-                "executor": decision.executor,
-                "reason": decision.rationale
-            }
-
-        self.auto_edit_lockout = True
-        brief = {
-            "type": "diagnostic_brief",
-            "severity": "critical",
-            "tier": decision.tier,
-            "user_rationale": "Autonomous edits have been paused to protect account safety after sustained high-velocity actions.",
-            "validation_violations": validation.violations,
-            "action_type": action_data.get("action_type", "unknown"),
-            "timestamp": datetime.utcnow().isoformat()
-        }
-        self.alert_history.append(brief)
-        if len(self.alert_history) > 500:
-            self.alert_history = self.alert_history[-500:]
-
-        return {"status": "lockout_enabled", "diagnostic_brief": brief}
-
-    async def _persist_escalation_decision(self, decision: EscalationDecision, action_data: Dict[str, Any], outcome: Dict[str, Any]):
-        record = {
-            "timestamp": datetime.utcnow().isoformat(),
-            "decision": asdict(decision),
-            "action_data": action_data,
-            "outcome": outcome
-        }
-        self.escalation_history.append(record)
-        if len(self.escalation_history) > 2000:
-            self.escalation_history = self.escalation_history[-2000:]
-
-    def get_escalation_history(self, limit: int = 100) -> List[Dict[str, Any]]:
-        return self.escalation_history[-limit:] if self.escalation_history else []
-
-    def reset_auto_edit_lockout(self):
-        self.auto_edit_lockout = False
-
     def add_custom_constraint(self, constraint: SafetyConstraint):
         """Add a custom safety constraint"""
         self.constraints[constraint.constraint_id] = constraint

backend/utils/asset_tracker.py

@@ -11,6 +11,8 @@ import logging
 import re
 from urllib.parse import urlparse
 
+from models.asset_metadata_schema import validate_asset_metadata
+
 logger = logging.getLogger(__name__)
 
 # Maximum file size (100MB)
@@ -140,6 +142,12 @@ def save_asset_to_library(
             if len(title) > 200:
                 title = title[:197] + '...'
         
+        metadata_payload = asset_metadata or {}
+        is_valid_metadata, validation_message = validate_asset_metadata(metadata_payload)
+        if not is_valid_metadata:
+            logger.error(f"Invalid asset metadata: {validation_message}")
+            return None
+
         service = ContentAssetService(db)
         asset = service.create_asset(
             user_id=user_id,
@@ -154,7 +162,7 @@ def save_asset_to_library(
             description=description,
             prompt=prompt,
             tags=tags or [],
-            asset_metadata=asset_metadata or {},
+            asset_metadata=metadata_payload,
             provider=provider,
             model=model,
             cost=cost,