dify/api/services/workflow_app_service.py
KVOJJJin 78d460a6d1
Feat: time period filter for workflow logs (#14271)
Signed-off-by: -LAN- <laipz8200@outlook.com>
Co-authored-by: -LAN- <laipz8200@outlook.com>
2025-03-10 14:02:58 +08:00

104 lines
3.5 KiB
Python

import uuid
from datetime import datetime
from sqlalchemy import and_, func, or_, select
from sqlalchemy.orm import Session
from models import App, EndUser, WorkflowAppLog, WorkflowRun
from models.enums import CreatedByRole
from models.workflow import WorkflowRunStatus
class WorkflowAppService:
def get_paginate_workflow_app_logs(
self,
*,
session: Session,
app_model: App,
keyword: str | None = None,
status: WorkflowRunStatus | None = None,
created_at_before: datetime | None = None,
created_at_after: datetime | None = None,
page: int = 1,
limit: int = 20,
) -> dict:
"""
Get paginate workflow app logs using SQLAlchemy 2.0 style
:param session: SQLAlchemy session
:param app_model: app model
:param keyword: search keyword
:param status: filter by status
:param created_at_before: filter logs created before this timestamp
:param created_at_after: filter logs created after this timestamp
:param page: page number
:param limit: items per page
:return: Pagination object
"""
# Build base statement using SQLAlchemy 2.0 style
stmt = select(WorkflowAppLog).where(
WorkflowAppLog.tenant_id == app_model.tenant_id, WorkflowAppLog.app_id == app_model.id
)
if keyword or status:
stmt = stmt.join(WorkflowRun, WorkflowRun.id == WorkflowAppLog.workflow_run_id)
if keyword:
keyword_like_val = f"%{keyword[:30].encode('unicode_escape').decode('utf-8')}%".replace(r"\u", r"\\u")
keyword_conditions = [
WorkflowRun.inputs.ilike(keyword_like_val),
WorkflowRun.outputs.ilike(keyword_like_val),
# filter keyword by end user session id if created by end user role
and_(WorkflowRun.created_by_role == "end_user", EndUser.session_id.ilike(keyword_like_val)),
]
# filter keyword by workflow run id
keyword_uuid = self._safe_parse_uuid(keyword)
if keyword_uuid:
keyword_conditions.append(WorkflowRun.id == keyword_uuid)
stmt = stmt.outerjoin(
EndUser,
and_(WorkflowRun.created_by == EndUser.id, WorkflowRun.created_by_role == CreatedByRole.END_USER),
).where(or_(*keyword_conditions))
if status:
stmt = stmt.where(WorkflowRun.status == status)
# Add time-based filtering
if created_at_before:
stmt = stmt.where(WorkflowAppLog.created_at <= created_at_before)
if created_at_after:
stmt = stmt.where(WorkflowAppLog.created_at >= created_at_after)
stmt = stmt.order_by(WorkflowAppLog.created_at.desc())
# Get total count using the same filters
count_stmt = select(func.count()).select_from(stmt.subquery())
total = session.scalar(count_stmt) or 0
# Apply pagination limits
offset_stmt = stmt.offset((page - 1) * limit).limit(limit)
# Execute query and get items
items = list(session.scalars(offset_stmt).all())
return {
"page": page,
"limit": limit,
"total": total,
"has_more": total > page * limit,
"data": items,
}
@staticmethod
def _safe_parse_uuid(value: str):
# fast check
if len(value) < 32:
return None
try:
return uuid.UUID(value)
except ValueError:
return None