feat: Implements periodic deletion of workflow run logs that exceed t… (#23881)

Co-authored-by: shiyun.li973792 <shiyun.li@seres.cn>
Co-authored-by: 1wangshu <suewangswu@gmail.com>
Co-authored-by: Blackoutta <hyytez@gmail.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>

api/.env.example

 
 # API workflow run repository implementation
 API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
+# Workflow log cleanup configuration
+# Enable automatic cleanup of workflow run logs to manage database size
+WORKFLOW_LOG_CLEANUP_ENABLED=true
+# Number of days to retain workflow run logs (default: 30 days)
+WORKFLOW_LOG_RETENTION_DAYS=30
+# Batch size for workflow log cleanup operations (default: 100)
+WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
 
 # App configuration
 APP_MAX_EXECUTION_TIME=1200

api/configs/feature/__init__.py

     )
 
 
+class WorkflowLogConfig(BaseSettings):
+    WORKFLOW_LOG_CLEANUP_ENABLED: bool = Field(default=True, description="Enable workflow run log cleanup")
+    WORKFLOW_LOG_RETENTION_DAYS: int = Field(default=30, description="Retention days for workflow run logs")
+    WORKFLOW_LOG_CLEANUP_BATCH_SIZE: int = Field(
+        default=100, description="Batch size for workflow run log cleanup operations"
+    )
+
+
 class FeatureConfig(
     # place the configs in alphabet order
     AppExecutionConfig,
     HostedServiceConfig,
     CeleryBeatConfig,
     CeleryScheduleTasksConfig,
+    WorkflowLogConfig,
 ):
     pass

api/extensions/ext_celery.py

             "task": "schedule.check_upgradable_plugin_task.check_upgradable_plugin_task",
             "schedule": crontab(minute="*/15"),
         }
-
+    if dify_config.WORKFLOW_LOG_CLEANUP_ENABLED:
+        # 2:00 AM every day
+        imports.append("schedule.clean_workflow_runlogs_precise")
+        beat_schedule["clean_workflow_runlogs_precise"] = {
+            "task": "schedule.clean_workflow_runlogs_precise.clean_workflow_runlogs_precise",
+            "schedule": crontab(minute="0", hour="2"),
+        }
     celery_app.conf.update(beat_schedule=beat_schedule, imports=imports)
 
     return celery_app

api/schedule/clean_workflow_runlogs_precise.py

+import datetime
+import logging
+import time
+
+import click
+
+import app
+from configs import dify_config
+from extensions.ext_database import db
+from models.model import (
+    AppAnnotationHitHistory,
+    Conversation,
+    Message,
+    MessageAgentThought,
+    MessageAnnotation,
+    MessageChain,
+    MessageFeedback,
+    MessageFile,
+)
+from models.workflow import ConversationVariable, WorkflowAppLog, WorkflowNodeExecutionModel, WorkflowRun
+
+_logger = logging.getLogger(__name__)
+
+
+MAX_RETRIES = 3
+BATCH_SIZE = dify_config.WORKFLOW_LOG_CLEANUP_BATCH_SIZE
+
+
+@app.celery.task(queue="dataset")
+def clean_workflow_runlogs_precise():
+    """Clean expired workflow run logs with retry mechanism and complete message cascade"""
+
+    click.echo(click.style("Start clean workflow run logs (precise mode with complete cascade).", fg="green"))
+    start_at = time.perf_counter()
+
+    retention_days = dify_config.WORKFLOW_LOG_RETENTION_DAYS
+    cutoff_date = datetime.datetime.now() - datetime.timedelta(days=retention_days)
+
+    try:
+        total_workflow_runs = db.session.query(WorkflowRun).filter(WorkflowRun.created_at < cutoff_date).count()
+        if total_workflow_runs == 0:
+            _logger.info("No expired workflow run logs found")
+            return
+        _logger.info("Found %s expired workflow run logs to clean", total_workflow_runs)
+
+        total_deleted = 0
+        failed_batches = 0
+        batch_count = 0
+
+        while True:
+            workflow_runs = (
+                db.session.query(WorkflowRun.id).filter(WorkflowRun.created_at < cutoff_date).limit(BATCH_SIZE).all()
+            )
+
+            if not workflow_runs:
+                break
+
+            workflow_run_ids = [run.id for run in workflow_runs]
+            batch_count += 1
+
+            success = _delete_batch_with_retry(workflow_run_ids, failed_batches)
+
+            if success:
+                total_deleted += len(workflow_run_ids)
+                failed_batches = 0
+            else:
+                failed_batches += 1
+                if failed_batches >= MAX_RETRIES:
+                    _logger.error("Failed to delete batch after %s retries, aborting cleanup for today", MAX_RETRIES)
+                    break
+                else:
+                    # Calculate incremental delay times: 5, 10, 15 minutes
+                    retry_delay_minutes = failed_batches * 5
+                    _logger.warning("Batch deletion failed, retrying in %s minutes...", retry_delay_minutes)
+                    time.sleep(retry_delay_minutes * 60)
+                    continue
+
+        _logger.info("Cleanup completed: %s expired workflow run logs deleted", total_deleted)
+
+    except Exception as e:
+        db.session.rollback()
+        _logger.exception("Unexpected error in workflow log cleanup")
+        raise
+
+    end_at = time.perf_counter()
+    execution_time = end_at - start_at
+    click.echo(click.style(f"Cleaned workflow run logs from db success latency: {execution_time:.2f}s", fg="green"))
+
+
+def _delete_batch_with_retry(workflow_run_ids: list[str], attempt_count: int) -> bool:
+    """Delete a single batch with a retry mechanism and complete cascading deletion"""
+    try:
+        with db.session.begin_nested():
+            message_data = (
+                db.session.query(Message.id, Message.conversation_id)
+                .filter(Message.workflow_run_id.in_(workflow_run_ids))
+                .all()
+            )
+            message_id_list = [msg.id for msg in message_data]
+            conversation_id_list = list({msg.conversation_id for msg in message_data if msg.conversation_id})
+            if message_id_list:
+                db.session.query(AppAnnotationHitHistory).filter(
+                    AppAnnotationHitHistory.message_id.in_(message_id_list)
+                ).delete(synchronize_session=False)
+
+                db.session.query(MessageAgentThought).filter(
+                    MessageAgentThought.message_id.in_(message_id_list)
+                ).delete(synchronize_session=False)
+
+                db.session.query(MessageChain).filter(MessageChain.message_id.in_(message_id_list)).delete(
+                    synchronize_session=False
+                )
+
+                db.session.query(MessageFile).filter(MessageFile.message_id.in_(message_id_list)).delete(
+                    synchronize_session=False
+                )
+
+                db.session.query(MessageAnnotation).filter(MessageAnnotation.message_id.in_(message_id_list)).delete(
+                    synchronize_session=False
+                )
+
+                db.session.query(MessageFeedback).filter(MessageFeedback.message_id.in_(message_id_list)).delete(
+                    synchronize_session=False
+                )
+
+                db.session.query(Message).filter(Message.workflow_run_id.in_(workflow_run_ids)).delete(
+                    synchronize_session=False
+                )
+
+            db.session.query(WorkflowAppLog).filter(WorkflowAppLog.workflow_run_id.in_(workflow_run_ids)).delete(
+                synchronize_session=False
+            )
+
+            db.session.query(WorkflowNodeExecutionModel).filter(
+                WorkflowNodeExecutionModel.workflow_run_id.in_(workflow_run_ids)
+            ).delete(synchronize_session=False)
+
+            if conversation_id_list:
+                db.session.query(ConversationVariable).filter(
+                    ConversationVariable.conversation_id.in_(conversation_id_list)
+                ).delete(synchronize_session=False)
+
+                db.session.query(Conversation).filter(Conversation.id.in_(conversation_id_list)).delete(
+                    synchronize_session=False
+                )
+
+            db.session.query(WorkflowRun).filter(WorkflowRun.id.in_(workflow_run_ids)).delete(synchronize_session=False)
+
+        db.session.commit()
+        return True
+
+    except Exception as e:
+        db.session.rollback()
+        _logger.exception("Batch deletion failed (attempt %s)", attempt_count + 1)
+        return False

docker/.env.example

 # API workflow node execution repository implementation
 API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
 
+# Workflow log cleanup configuration
+# Enable automatic cleanup of workflow run logs to manage database size
+WORKFLOW_LOG_CLEANUP_ENABLED=false
+# Number of days to retain workflow run logs (default: 30 days)
+WORKFLOW_LOG_RETENTION_DAYS=30
+# Batch size for workflow log cleanup operations (default: 100)
+WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
+
 # HTTP request node in workflow configuration
 HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760
 HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576

docker/docker-compose.yaml

   CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: ${CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY:-core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository}
   API_WORKFLOW_RUN_REPOSITORY: ${API_WORKFLOW_RUN_REPOSITORY:-repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository}
   API_WORKFLOW_NODE_EXECUTION_REPOSITORY: ${API_WORKFLOW_NODE_EXECUTION_REPOSITORY:-repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository}
+  WORKFLOW_LOG_CLEANUP_ENABLED: ${WORKFLOW_LOG_CLEANUP_ENABLED:-false}
+  WORKFLOW_LOG_RETENTION_DAYS: ${WORKFLOW_LOG_RETENTION_DAYS:-30}
+  WORKFLOW_LOG_CLEANUP_BATCH_SIZE: ${WORKFLOW_LOG_CLEANUP_BATCH_SIZE:-100}
   HTTP_REQUEST_NODE_MAX_BINARY_SIZE: ${HTTP_REQUEST_NODE_MAX_BINARY_SIZE:-10485760}
   HTTP_REQUEST_NODE_MAX_TEXT_SIZE: ${HTTP_REQUEST_NODE_MAX_TEXT_SIZE:-1048576}
   HTTP_REQUEST_NODE_SSL_VERIFY: ${HTTP_REQUEST_NODE_SSL_VERIFY:-True}