syndarix/backend/app/tasks/memory_consolidation.py

# app/tasks/memory_consolidation.py
"""
Memory consolidation Celery tasks.

Handles scheduled and on-demand memory consolidation:
- Session consolidation (on session end)
- Nightly consolidation (scheduled)
- On-demand project consolidation
"""

import logging
from typing import Any

from app.celery_app import celery_app

logger = logging.getLogger(__name__)


@celery_app.task(
    bind=True,
    name="app.tasks.memory_consolidation.consolidate_session",
    autoretry_for=(Exception,),
    retry_backoff=True,
    retry_kwargs={"max_retries": 3},
)
def consolidate_session(
    self,
    project_id: str,
    session_id: str,
    task_type: str = "session_task",
    agent_instance_id: str | None = None,
    agent_type_id: str | None = None,
) -> dict[str, Any]:
    """
    Consolidate a session's working memory to episodic memory.

    This task is triggered when an agent session ends to transfer
    relevant session data into persistent episodic memory.

    Args:
        project_id: UUID of the project
        session_id: Session identifier
        task_type: Type of task performed
        agent_instance_id: Optional agent instance UUID
        agent_type_id: Optional agent type UUID

    Returns:
        dict with consolidation results
    """
    logger.info(f"Consolidating session {session_id} for project {project_id}")

    # TODO: Implement actual consolidation
    # This will involve:
    # 1. Getting database session from async context
    # 2. Loading working memory for session
    # 3. Calling consolidation service
    # 4. Returning results

    # Placeholder implementation
    return {
        "status": "pending",
        "project_id": project_id,
        "session_id": session_id,
        "episode_created": False,
    }


@celery_app.task(
    bind=True,
    name="app.tasks.memory_consolidation.run_nightly_consolidation",
    autoretry_for=(Exception,),
    retry_backoff=True,
    retry_kwargs={"max_retries": 3},
)
def run_nightly_consolidation(
    self,
    project_id: str,
    agent_type_id: str | None = None,
) -> dict[str, Any]:
    """
    Run nightly memory consolidation for a project.

    This task performs the full consolidation workflow:
    1. Extract facts from recent episodes to semantic memory
    2. Learn procedures from successful episode patterns
    3. Prune old, low-value memories

    Args:
        project_id: UUID of the project to consolidate
        agent_type_id: Optional agent type to filter by

    Returns:
        dict with consolidation results
    """
    logger.info(f"Running nightly consolidation for project {project_id}")

    # TODO: Implement actual consolidation
    # This will involve:
    # 1. Getting database session from async context
    # 2. Creating consolidation service instance
    # 3. Running run_nightly_consolidation
    # 4. Returning results

    # Placeholder implementation
    return {
        "status": "pending",
        "project_id": project_id,
        "total_facts_created": 0,
        "total_procedures_created": 0,
        "total_pruned": 0,
    }


@celery_app.task(
    bind=True,
    name="app.tasks.memory_consolidation.consolidate_episodes_to_facts",
    autoretry_for=(Exception,),
    retry_backoff=True,
    retry_kwargs={"max_retries": 3},
)
def consolidate_episodes_to_facts(
    self,
    project_id: str,
    since_hours: int = 24,
    limit: int | None = None,
) -> dict[str, Any]:
    """
    Extract facts from episodic memories.

    Args:
        project_id: UUID of the project
        since_hours: Process episodes from last N hours
        limit: Maximum episodes to process

    Returns:
        dict with extraction results
    """
    logger.info(f"Consolidating episodes to facts for project {project_id}")

    # TODO: Implement actual consolidation
    # Placeholder implementation
    return {
        "status": "pending",
        "project_id": project_id,
        "items_processed": 0,
        "items_created": 0,
    }


@celery_app.task(
    bind=True,
    name="app.tasks.memory_consolidation.consolidate_episodes_to_procedures",
    autoretry_for=(Exception,),
    retry_backoff=True,
    retry_kwargs={"max_retries": 3},
)
def consolidate_episodes_to_procedures(
    self,
    project_id: str,
    agent_type_id: str | None = None,
    since_days: int = 7,
) -> dict[str, Any]:
    """
    Learn procedures from episodic patterns.

    Args:
        project_id: UUID of the project
        agent_type_id: Optional agent type filter
        since_days: Process episodes from last N days

    Returns:
        dict with procedure learning results
    """
    logger.info(f"Consolidating episodes to procedures for project {project_id}")

    # TODO: Implement actual consolidation
    # Placeholder implementation
    return {
        "status": "pending",
        "project_id": project_id,
        "items_processed": 0,
        "items_created": 0,
    }


@celery_app.task(
    bind=True,
    name="app.tasks.memory_consolidation.prune_old_memories",
    autoretry_for=(Exception,),
    retry_backoff=True,
    retry_kwargs={"max_retries": 3},
)
def prune_old_memories(
    self,
    project_id: str,
    max_age_days: int = 90,
    min_importance: float = 0.2,
) -> dict[str, Any]:
    """
    Prune old, low-value memories.

    Args:
        project_id: UUID of the project
        max_age_days: Maximum age in days
        min_importance: Minimum importance to keep

    Returns:
        dict with pruning results
    """
    logger.info(f"Pruning old memories for project {project_id}")

    # TODO: Implement actual pruning
    # Placeholder implementation
    return {
        "status": "pending",
        "project_id": project_id,
        "items_pruned": 0,
    }


# =========================================================================
# Celery Beat Schedule Configuration
# =========================================================================

# This would typically be configured in celery_app.py or a separate config file
# Example schedule for nightly consolidation:
#
# app.conf.beat_schedule = {
#     'nightly-memory-consolidation': {
#         'task': 'app.tasks.memory_consolidation.run_nightly_consolidation',
#         'schedule': crontab(hour=2, minute=0),  # 2 AM daily
#         'args': (None,),  # Will process all projects
#     },
# }