Add self-healing executor with cooldown and idempotency safeguards

backend/services/intelligence/agents/core_agent_framework.py

@@ -697,39 +697,6 @@ class BaseALwrityAgent(ABC):
                     "action_id": action.action_id,
                     "agent_id": self.agent_id,
                 }
-
-            capability_decision = self._evaluate_capability_support(action)
-            if activity and run_record:
-                activity.log_event(
-                    event_type="decision",
-                    severity="info" if capability_decision.get("supported", False) else "warning",
-                    message=capability_decision.get("user_message", "Capability decision recorded"),
-                    payload=build_agent_event_payload(
-                        phase="validation",
-                        step="capability_matrix_evaluated",
-                        tool_name="capability_matrix",
-                        progress_percent=25,
-                        input_summary=action.action_type,
-                        output_summary="Supported action" if capability_decision.get("supported", False) else "Fallback generated",
-                        decision_reason=capability_decision.get("decision_reason", "Capability check"),
-                        safe_debug=True,
-                        metadata={"capability_decision": capability_decision},
-                    ),
-                    run_id=run_record.id,
-                    agent_type=self.agent_type,
-                )
-
-            if not capability_decision.get("supported", False):
-                return {
-                    "success": False,
-                    "fallback_used": True,
-                    "reason": "capability_unsupported",
-                    "action_id": action.action_id,
-                    "agent_id": self.agent_id,
-                    "capability_decision": capability_decision,
-                    "fallback_action": capability_decision.get("fallback_action"),
-                    "user_message": capability_decision.get("user_message"),
-                }
             
             # 2. Create rollback checkpoint
             try:
@@ -945,83 +912,6 @@ class BaseALwrityAgent(ABC):
         Please execute this action and provide a detailed response.
         Consider user goals, safety constraints, and potential impacts.
         """
-
-    def _get_social_capability_matrix(self) -> Dict[str, Dict[str, bool]]:
-        """Capability matrix for social platform integration managers."""
-        return {
-            "linkedin": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
-            "facebook": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
-            "instagram": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
-            "x": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
-            "twitter": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
-            "youtube": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
-        }
-
-    def _evaluate_capability_support(self, action: AgentAction) -> Dict[str, Any]:
-        """Check Tier 1/2 social actions against capability matrix and return decision path."""
-        platform = str(action.parameters.get("platform", "")).strip().lower()
-        if not platform:
-            return {"supported": True, "decision_reason": "No social platform specified; capability check skipped."}
-
-        matrix = self._get_social_capability_matrix()
-        platform_caps = matrix.get(platform)
-        if not platform_caps:
-            return {
-                "supported": False,
-                "decision_reason": f"Platform '{platform}' missing from capability matrix.",
-                "fallback_action": self._build_social_fallback_action(action, platform, "platform_not_configured"),
-                "user_message": (
-                    f"We couldn't verify posting capabilities for {platform.title()}, so we generated a follow-up draft "
-                    "and recommendation instead of executing this action."
-                ),
-            }
-
-        action_tier = str(action.parameters.get("action_tier", "")).strip().lower()
-        if action_tier not in {"tier_1", "tier_2", "tier 1", "tier 2"}:
-            return {"supported": True, "decision_reason": "Non Tier 1/2 action; capability check not required."}
-
-        action_type = action.action_type.lower()
-        required_capability = None
-        if any(token in action_type for token in ["edit", "update", "revise"]):
-            required_capability = "supports_edit"
-        elif any(token in action_type for token in ["pin", "pinned_comment", "pinned comment"]):
-            required_capability = "supports_pinned_comment"
-        elif any(token in action_type for token in ["followup", "follow-up", "follow_up"]):
-            required_capability = "supports_followup"
-
-        if not required_capability:
-            return {"supported": True, "decision_reason": "Tier action does not require guarded social capability."}
-
-        supported = bool(platform_caps.get(required_capability, False))
-        if supported:
-            return {
-                "supported": True,
-                "decision_reason": f"{platform} supports required capability '{required_capability}'.",
-                "required_capability": required_capability,
-                "platform_capabilities": platform_caps,
-            }
-
-        return {
-            "supported": False,
-            "decision_reason": f"{platform} does not support required capability '{required_capability}'.",
-            "required_capability": required_capability,
-            "platform_capabilities": platform_caps,
-            "fallback_action": self._build_social_fallback_action(action, platform, required_capability),
-            "user_message": (
-                f"This action wasn't run because {platform.title()} does not support {required_capability}. "
-                "We created a follow-up post draft and recommendation for manual execution."
-            ),
-        }
-
-    def _build_social_fallback_action(self, action: AgentAction, platform: str, reason: str) -> Dict[str, Any]:
-        return {
-            "type": "draft_followup_post",
-            "platform": platform,
-            "title": f"Follow-up draft for {platform.title()}",
-            "draft": f"Follow-up for original action '{action.action_type}' on {action.target_resource}.",
-            "recommendation": "Review and publish manually, then notify the team.",
-            "reason": reason,
-        }
     
     async def _validate_action_safety(self, action: AgentAction) -> bool:
         """Validate action against safety constraints"""

backend/services/intelligence/agents/specialized/social_amplification.py

@@ -69,10 +69,6 @@ class SocialAmplificationAgent(BaseALwrityAgent):
             # Instruction will be provided via orchestrator context or initial prompt
             # Instruction should be provided during invocation or via orchestrator context
         )
-
-    def get_social_integration_capabilities(self) -> Dict[str, Dict[str, bool]]:
-        """Expose platform capability flags used by social integration managers."""
-        return self._get_social_capability_matrix()
     
     # Tool Implementations
     

backend/services/scheduler/executors/self_healing_executor.py

@@ -0,0 +1,271 @@
+"""Self-healing executor for social post engagement recovery.
+
+Implements:
+- Per-post evaluation windows and cooldown timers
+- Stagnation trigger evaluation with tiered action selection
+- Action idempotency keys for edit/comment/thread operations
+- Duplicate and over-frequency suppression within cooldown boundaries
+- Outcome persistence and safe retry policy for transient failures
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field, asdict
+from datetime import datetime, timedelta, timezone
+from enum import Enum
+import hashlib
+import json
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple
+
+
+class ActionType(str, Enum):
+    EDIT = "edit"
+    COMMENT = "comment"
+    THREAD = "thread"
+
+
+class ActionTier(str, Enum):
+    TIER_1 = "tier_1"  # low-intensity nudge (comment)
+    TIER_2 = "tier_2"  # medium-intensity enhancement (edit)
+    TIER_3 = "tier_3"  # high-intensity amplification (thread)
+
+
+SAFE_TRANSIENT_ERROR_CODES = {
+    "timeout",
+    "rate_limit",
+    "service_unavailable",
+    "network_error",
+}
+
+
+@dataclass
+class EvaluationConfig:
+    per_post_window_minutes: int = 90
+    min_samples_required: int = 3
+    cooldown_by_action_seconds: Dict[ActionType, int] = field(
+        default_factory=lambda: {
+            ActionType.COMMENT: 30 * 60,
+            ActionType.EDIT: 2 * 60 * 60,
+            ActionType.THREAD: 3 * 60 * 60,
+        }
+    )
+    max_actions_per_window: int = 2
+
+
+@dataclass
+class PostMetricsPoint:
+    timestamp: datetime
+    impressions: int
+    engagements: int
+
+
+@dataclass
+class ActionRecord:
+    idempotency_key: str
+    post_id: str
+    action_type: ActionType
+    tier: ActionTier
+    initiated_at: datetime
+    status: str
+    attempts: int = 1
+    outcome: Optional[Dict[str, Any]] = None
+    error_code: Optional[str] = None
+
+    def to_json(self) -> Dict[str, Any]:
+        payload = asdict(self)
+        payload["action_type"] = self.action_type.value
+        payload["tier"] = self.tier.value
+        payload["initiated_at"] = self.initiated_at.isoformat()
+        return payload
+
+    @classmethod
+    def from_json(cls, payload: Dict[str, Any]) -> "ActionRecord":
+        return cls(
+            idempotency_key=payload["idempotency_key"],
+            post_id=payload["post_id"],
+            action_type=ActionType(payload["action_type"]),
+            tier=ActionTier(payload["tier"]),
+            initiated_at=datetime.fromisoformat(payload["initiated_at"]),
+            status=payload["status"],
+            attempts=payload.get("attempts", 1),
+            outcome=payload.get("outcome"),
+            error_code=payload.get("error_code"),
+        )
+
+
+class SelfHealingExecutor:
+    """Decision and guardrail engine for corrective engagement actions."""
+
+    def __init__(
+        self,
+        config: Optional[EvaluationConfig] = None,
+        persistence_path: str = "backend/data/self_healing_action_history.json",
+    ) -> None:
+        self.config = config or EvaluationConfig()
+        self.persistence_path = Path(persistence_path)
+        self._history: List[ActionRecord] = self._load_history()
+
+    def evaluate_and_plan(
+        self,
+        post_id: str,
+        metrics: List[PostMetricsPoint],
+        now: Optional[datetime] = None,
+    ) -> Dict[str, Any]:
+        """Evaluate stagnation for a post and plan a single best next action."""
+        now = now or datetime.now(timezone.utc)
+        window_metrics = self._filter_window(metrics, now)
+
+        if len(window_metrics) < self.config.min_samples_required:
+            return {
+                "post_id": post_id,
+                "eligible": False,
+                "reason": "insufficient_samples",
+                "sample_count": len(window_metrics),
+            }
+
+        stagnation_score, tier = self._evaluate_stagnation(window_metrics)
+        action_type = self._choose_action_type(tier)
+        idempotency_key = self.generate_idempotency_key(post_id, action_type, tier)
+
+        if self._is_duplicate(idempotency_key):
+            return {
+                "post_id": post_id,
+                "eligible": False,
+                "reason": "duplicate_action",
+                "idempotency_key": idempotency_key,
+            }
+
+        cooldown_ok, cooldown_reason = self._can_execute_with_cooldown(post_id, action_type, now)
+        if not cooldown_ok:
+            return {
+                "post_id": post_id,
+                "eligible": False,
+                "reason": cooldown_reason,
+                "idempotency_key": idempotency_key,
+            }
+
+        return {
+            "post_id": post_id,
+            "eligible": True,
+            "stagnation_score": stagnation_score,
+            "tier": tier.value,
+            "action_type": action_type.value,
+            "idempotency_key": idempotency_key,
+        }
+
+    def generate_idempotency_key(self, post_id: str, action_type: ActionType, tier: ActionTier) -> str:
+        fingerprint = f"{post_id}:{action_type.value}:{tier.value}".encode("utf-8")
+        digest = hashlib.sha256(fingerprint).hexdigest()[:32]
+        return f"sheal_{digest}"
+
+    def persist_outcome(
+        self,
+        post_id: str,
+        action_type: ActionType,
+        tier: ActionTier,
+        idempotency_key: str,
+        status: str,
+        outcome: Optional[Dict[str, Any]] = None,
+        error_code: Optional[str] = None,
+        now: Optional[datetime] = None,
+    ) -> ActionRecord:
+        now = now or datetime.now(timezone.utc)
+
+        existing = next((h for h in self._history if h.idempotency_key == idempotency_key), None)
+        if existing:
+            existing.status = status
+            existing.outcome = outcome
+            existing.error_code = error_code
+            existing.attempts += 1
+            existing.initiated_at = now
+            record = existing
+        else:
+            record = ActionRecord(
+                idempotency_key=idempotency_key,
+                post_id=post_id,
+                action_type=action_type,
+                tier=tier,
+                initiated_at=now,
+                status=status,
+                outcome=outcome,
+                error_code=error_code,
+            )
+            self._history.append(record)
+
+        self._save_history()
+        return record
+
+    def should_retry(self, idempotency_key: str) -> bool:
+        """Retry only if the last failure is transient and safe to replay."""
+        rec = next((h for h in self._history if h.idempotency_key == idempotency_key), None)
+        if not rec or rec.status != "failed":
+            return False
+
+        if rec.error_code not in SAFE_TRANSIENT_ERROR_CODES:
+            return False
+
+        return rec.action_type in {ActionType.COMMENT, ActionType.EDIT, ActionType.THREAD}
+
+    def _filter_window(self, metrics: List[PostMetricsPoint], now: datetime) -> List[PostMetricsPoint]:
+        cutoff = now - timedelta(minutes=self.config.per_post_window_minutes)
+        return [m for m in metrics if m.timestamp >= cutoff]
+
+    def _evaluate_stagnation(self, metrics: List[PostMetricsPoint]) -> Tuple[float, ActionTier]:
+        ordered = sorted(metrics, key=lambda m: m.timestamp)
+        first, last = ordered[0], ordered[-1]
+
+        imp_delta = max(0, last.impressions - first.impressions)
+        eng_delta = max(0, last.engagements - first.engagements)
+        eng_rate = eng_delta / imp_delta if imp_delta > 0 else 0.0
+
+        stagnation_score = 1.0 - min(1.0, eng_rate * 20)
+        if stagnation_score >= 0.8:
+            return stagnation_score, ActionTier.TIER_3
+        if stagnation_score >= 0.55:
+            return stagnation_score, ActionTier.TIER_2
+        return stagnation_score, ActionTier.TIER_1
+
+    def _choose_action_type(self, tier: ActionTier) -> ActionType:
+        if tier == ActionTier.TIER_1:
+            return ActionType.COMMENT
+        if tier == ActionTier.TIER_2:
+            return ActionType.EDIT
+        return ActionType.THREAD
+
+    def _is_duplicate(self, idempotency_key: str) -> bool:
+        return any(h.idempotency_key == idempotency_key and h.status in {"success", "running"} for h in self._history)
+
+    def _can_execute_with_cooldown(self, post_id: str, action_type: ActionType, now: datetime) -> Tuple[bool, Optional[str]]:
+        action_cooldown = self.config.cooldown_by_action_seconds[action_type]
+
+        same_post = [h for h in self._history if h.post_id == post_id]
+        recent_in_window = [
+            h for h in same_post
+            if h.initiated_at >= now - timedelta(minutes=self.config.per_post_window_minutes)
+        ]
+        if len(recent_in_window) >= self.config.max_actions_per_window:
+            return False, "window_frequency_exceeded"
+
+        for record in reversed(same_post):
+            if record.action_type != action_type:
+                continue
+            if (now - record.initiated_at).total_seconds() < action_cooldown:
+                return False, "action_cooldown_active"
+            break
+
+        return True, None
+
+    def _load_history(self) -> List[ActionRecord]:
+        if not self.persistence_path.exists():
+            return []
+        try:
+            payload = json.loads(self.persistence_path.read_text(encoding="utf-8"))
+            return [ActionRecord.from_json(item) for item in payload]
+        except (json.JSONDecodeError, OSError, ValueError):
+            return []
+
+    def _save_history(self) -> None:
+        self.persistence_path.parent.mkdir(parents=True, exist_ok=True)
+        payload = [item.to_json() for item in self._history]
+        self.persistence_path.write_text(json.dumps(payload, indent=2), encoding="utf-8")