Files
AI-Video/api/tasks/models.py

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1.9 KiB
Python

# Copyright (C) 2025 AIDC-AI
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Task data models
"""
from datetime import datetime
from enum import Enum
from typing import Any, Optional, List
from pydantic import BaseModel, Field
class TaskStatus(str, Enum):
"""Task status"""
PENDING = "pending"
RUNNING = "running"
COMPLETED = "completed"
FAILED = "failed"
CANCELLED = "cancelled"
class TaskType(str, Enum):
"""Task type"""
VIDEO_GENERATION = "video_generation"
class TaskProgress(BaseModel):
"""Task progress information"""
current: int = 0
total: int = 0
percentage: float = 0.0
message: str = ""
class Task(BaseModel):
"""Task model"""
task_id: str
task_type: TaskType
status: TaskStatus = TaskStatus.PENDING
# Progress tracking
progress: Optional[TaskProgress] = None
# Results and Errors
result: Optional[Any] = None
error: Optional[str] = None
# Event logs/History
logs: List[dict] = Field(default_factory=list)
# Metadata
created_at: datetime = Field(default_factory=datetime.now)
started_at: Optional[datetime] = None
completed_at: Optional[datetime] = None
# Request parameters (for reference)
request_params: Optional[dict] = None
class Config:
json_encoders = {
datetime: lambda v: v.isoformat()
}