增加了定时任务系统

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"Bash(kill:*)",
"Bash(./venv/bin/python3:*)",
"WebSearch",
"Bash(PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend ./venv/bin/python:*)"
"Bash(PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend ./venv/bin/python:*)",
"Bash(timeout 5 PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend ./venv/bin/python:*)",
"Bash(PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend timeout 5 ./venv/bin/python:*)",
"Bash(find:*)",
"Bash(timeout 10 PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend ./venv/bin/python:*)"
],
"deny": [],
"ask": []

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# 天体管理功能修复总结
**日期**: 2025-12-10
**状态**: ✅ 代码修复完成,待用户重启后端验证
---
## 修复的三个问题
### 1. ✅ 生成轨道按钮显示逻辑
**问题**: 生成轨道按钮只在行星/矮行星显示,其他类型不显示
**修复**:
- 所有天体类型都显示"生成轨道"按钮
- 非行星/矮行星的按钮设置为 `disabled={true}` 置灰
- 不同的 Tooltip 提示:
- 可生成:`"生成轨道"`
- 不可生成:`"仅行星和矮行星可生成轨道"`
**代码位置**: `frontend/src/pages/admin/CelestialBodies.tsx:490-516`
```typescript
customActions={(record) => {
const canGenerateOrbit = ['planet', 'dwarf_planet'].includes(record.type);
return (
<Popconfirm ...>
<Tooltip title={canGenerateOrbit ? "" : ""}>
<Button disabled={!canGenerateOrbit}>生成轨道</Button>
</Tooltip>
</Popconfirm>
);
}}
```
---
### 2. ✅ 生成轨道确认弹窗
**问题**: 点击生成轨道直接执行,没有确认提示
**修复**:
- 使用 `Popconfirm` 组件包裹按钮
- 确认标题:`"确认生成轨道"`
- 确认描述:显示天体中文名或英文名
- 提示信息:`"此操作可能需要一些时间"`
**代码位置**: `frontend/src/pages/admin/CelestialBodies.tsx:495-514`
---
### 3. ✅ 轨道配置数据加载问题
**问题**: 编辑天体时,轨道周期和颜色字段为空
**根本原因**:
1. 后端 API (`/celestial/list`) 没有返回 `extra_data` 字段
2. 前端 TypeScript 接口缺少 `extra_data` 定义
**修复方案**:
#### 后端修复 (backend/app/api/celestial_body.py:232)
```python
bodies_list.append({
"id": body.id,
"name": body.name,
# ... 其他字段 ...
"extra_data": body.extra_data, # ✅ 添加此行
"resources": resources_by_type,
})
```
#### 前端修复
**1. 添加 TypeScript 接口定义** (CelestialBodies.tsx:16-39)
```typescript
interface CelestialBody {
// ... 其他字段 ...
extra_data?: {
orbit_period_days?: number;
orbit_color?: string;
[key: string]: any;
};
}
```
**2. 处理 extra_data 数据** (CelestialBodies.tsx:210-235)
```typescript
const handleEdit = (record: CelestialBody) => {
// 解析 extra_data可能是字符串
let extraData = record.extra_data;
if (typeof extraData === 'string') {
try {
extraData = JSON.parse(extraData);
} catch (e) {
console.error('Failed to parse extra_data:', e);
extraData = {};
}
}
// 设置表单值
form.setFieldsValue({
...record,
extra_data: extraData || {},
});
setIsModalOpen(true);
};
```
---
## 额外修复
### DataTable 组件增强
**文件**: `frontend/src/components/admin/DataTable.tsx`
**新增功能**: 支持自定义操作按钮
```typescript
interface DataTableProps<T> {
// ... 其他 props ...
customActions?: (record: T) => ReactNode; // ✅ 新增
}
```
使用方式:
```typescript
<DataTable
customActions={(record) => (
<Button>自定义操作</Button>
)}
/>
```
---
## 数据库验证
已验证阋神星的数据在数据库中正确存储:
```sql
SELECT id, name_zh, extra_data FROM celestial_bodies WHERE id = '136199';
```
结果:
```json
{
"id": "136199",
"name_zh": "阋神星",
"extra_data": {
"orbit_color": "#E0E0E0",
"orbit_period_days": 203500.0
}
}
```
---
## 待用户操作
### 1. 重启后端服务器
后端代码已修改,需要重启以应用更改:
```bash
# 停止后端
lsof -ti:8000 | xargs kill
# 启动后端
cd /Users/jiliu/WorkSpace/cosmo/backend
PYTHONPATH=/Users/jiliu/WorkSpace/cosmo/backend \
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
```
### 2. 刷新前端页面
重启后端后,刷新浏览器页面以获取最新数据。
### 3. 验证功能
- [ ] 编辑阋神星,确认轨道周期显示 `203500`
- [ ] 确认轨道颜色显示 `#E0E0E0`
- [ ] 点击"生成轨道"按钮,确认弹出确认框
- [ ] 查看恒星、卫星等类型,确认"生成轨道"按钮置灰
---
## 修改文件列表
### 后端
- ✅ `backend/app/api/celestial_body.py` - 添加 extra_data 到 API 响应
### 前端
- ✅ `frontend/src/pages/admin/CelestialBodies.tsx` - 添加接口定义和数据处理
- ✅ `frontend/src/components/admin/DataTable.tsx` - 支持自定义操作按钮
---
## 技术细节
### 为什么需要处理字符串类型?
PostgreSQL 的 JSONB 字段在某些情况下可能被序列化为字符串,特别是在使用不同的 ORM 或序列化库时。代码添加了兼容性处理:
```typescript
if (typeof extraData === 'string') {
extraData = JSON.parse(extraData);
}
```
这确保了无论后端返回对象还是 JSON 字符串,前端都能正确处理。
---
**完成状态**: ✅ 代码修复完成,等待后端重启验证

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# Scheduled Jobs System - Code Review Summary
## Overview
This document summarizes the code review and cleanup performed on the scheduled jobs system.
## Changes Made
### 1. Backend - Removed Debug Logs with Emojis
#### `app/jobs/predefined.py`
- Removed emoji icons from log messages (🌍, 📋, 🔄, ✅, ❌, 🎉, ⚠️)
- Changed `logger.info` to `logger.debug` for detailed operation logs
- Kept `logger.info` only for high-level operation summaries
- Kept `logger.error` and `logger.warning` for error conditions
**Before:**
```python
logger.info(f"🌍 Starting solar system position sync: days={days}")
logger.info(f"🔄 Fetching positions for {body.name}")
logger.info(f"✅ Saved {count} positions for {body.name}")
```
**After:**
```python
logger.info(f"Starting solar system position sync: days={days}")
logger.debug(f"Fetching positions for {body.name}")
logger.debug(f"Saved {count} positions for {body.name}")
```
#### `app/jobs/registry.py`
- Changed task registration log from `logger.info` to `logger.debug`
- Changed task execution logs from `logger.info` to `logger.debug`
- Removed emoji icons (📋, 🚀, ✅)
#### `app/services/scheduler_service.py`
- Removed emoji icons from all log messages (⏰, ❌, ✅)
- Kept important lifecycle logs as `logger.info` (start, stop, job scheduling)
- Changed detailed execution logs to `logger.debug`
### 2. Backend - Removed Unused Imports
#### `app/api/scheduled_job.py`
- Removed unused imports: `update`, `delete` from sqlalchemy
**Before:**
```python
from sqlalchemy import select, update, delete
```
**After:**
```python
from sqlalchemy import select
```
### 3. Frontend - Removed Debug Console Logs
#### `pages/admin/ScheduledJobs.tsx`
- Removed `console.log` statements from `loadAvailableTasks()`
- Removed `console.error` statements from `loadAvailableTasks()`
- Removed `console.log` statements from `handleEdit()`
- Removed `console.error` from error handling (kept only toast messages)
**Removed:**
```typescript
console.log('Loaded available tasks:', result);
console.error('Failed to load available tasks:', error);
console.log('Editing record:', record);
console.log('Available tasks:', availableTasks);
console.error(error);
```
## Code Quality Improvements
### 1. Consistent Logging Levels
- **ERROR**: For failures that prevent operations
- **WARNING**: For non-critical issues (e.g., "No bodies found")
- **INFO**: For high-level operation summaries
- **DEBUG**: For detailed operation traces
### 2. Clean User-Facing Messages
- All user-facing error messages use toast notifications
- No console output in production frontend code
- Backend logs are professional and parseable
### 3. Transaction Safety
- Using SQLAlchemy savepoints (`begin_nested()`) for isolated error handling
- Proper rollback and commit patterns
- Error messages include full traceback for debugging
## Testing Results
### Import Test
✓ All backend imports successful
✓ Task registry properly initialized
✓ 2 tasks registered:
- sync_solar_system_positions
- sync_celestial_events
### Task Schema Test
✓ Task parameters properly defined:
- body_ids (array, optional, default=None)
- days (integer, optional, default=7)
- source (string, optional, default=nasa_horizons_cron)
### Integration Test
✓ Position constraint fixed (nasa_horizons_cron added to CHECK constraint)
✓ Manual job execution successful
✓ 26 celestial bodies synced with 52 positions
✓ Task record properly created and updated
✓ No failures during execution
## Remaining Console Logs (Other Admin Pages)
The following console logs exist in other admin pages but were left unchanged as they're outside the scope of this scheduled jobs feature:
- `SystemSettings.tsx`: 1 console.error
- `Users.tsx`: 2 console.error
- `Dashboard.tsx`: 1 console.error
- `StaticData.tsx`: 1 console.error
- `CelestialBodies.tsx`: 2 (1 error, 1 for JSON parsing)
- `NASADownload.tsx`: 3 (2 debug logs, 1 error)
## Files Modified
### Backend
1. `/backend/app/jobs/predefined.py` - Removed emoji logs, adjusted log levels
2. `/backend/app/jobs/registry.py` - Changed to debug logging
3. `/backend/app/services/scheduler_service.py` - Removed emojis, adjusted log levels
4. `/backend/app/api/scheduled_job.py` - Removed unused imports
### Frontend
1. `/frontend/src/pages/admin/ScheduledJobs.tsx` - Removed all console logs
### Database
1. `/backend/scripts/fix_position_source_constraint.py` - Fixed CHECK constraint
## Summary
All scheduled jobs related code has been reviewed and cleaned:
- ✅ No emoji icons in production logs
- ✅ Appropriate logging levels (ERROR/WARNING/INFO/DEBUG)
- ✅ No console.log/console.error in frontend
- ✅ No unused imports
- ✅ All imports and registrations working
- ✅ Database constraints fixed
- ✅ Integration tests passing
The code is now production-ready with clean, professional logging suitable for monitoring and debugging.

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@ -20,6 +20,7 @@
- [4.5 role_menus - 角色菜单关联表](#45-role_menus---角色菜单关联表)
- [4.6 system_settings - 系统配置表](#46-system_settings---系统配置表)
- [4.7 tasks - 后台任务表](#47-tasks---后台任务表)
- [4.8 scheduled_jobs - 定时任务表](#48-scheduled_jobs---定时任务表)
- [5. 缓存表](#5-缓存表)
- [5.1 nasa_cache - NASA API缓存表](#51-nasa_cache---nasa-api缓存表)
- [6. 数据关系图](#6-数据关系图)
@ -57,7 +58,8 @@
| 12 | role_menus | 角色菜单权限 | 数百 |
| 13 | system_settings | 系统配置参数 | 数十 |
| 14 | tasks | 后台任务 | 数万 |
| 15 | nasa_cache | NASA API缓存 | 数万 |
| 15 | scheduled_jobs | 定时任务配置 | 数十 |
| 16 | nasa_cache | NASA API缓存 | 数万 |
---
@ -650,6 +652,87 @@ COMMENT ON COLUMN tasks.progress IS '任务进度百分比0-100';
---
### 4.8 scheduled_jobs - 定时任务表
配置和管理定时调度任务,支持预定义任务和自定义代码执行。
```sql
CREATE TYPE jobtype AS ENUM ('predefined', 'custom_code');
CREATE TABLE scheduled_jobs (
id SERIAL PRIMARY KEY,
name VARCHAR(100) NOT NULL, -- 任务名称
job_type jobtype NOT NULL DEFAULT 'predefined',-- 任务类型
predefined_function VARCHAR(100), -- 预定义函数名称
function_params JSONB DEFAULT '{}'::jsonb, -- 函数参数JSON格式
cron_expression VARCHAR(50) NOT NULL, -- CRON表达式
python_code TEXT, -- 自定义Python代码
is_active BOOLEAN DEFAULT TRUE, -- 是否启用
last_run_at TIMESTAMP, -- 最后执行时间
last_run_status VARCHAR(20), -- 最后执行状态
next_run_at TIMESTAMP, -- 下次执行时间
description TEXT, -- 任务描述
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW(),
CONSTRAINT chk_job_type_fields CHECK (
(job_type = 'predefined' AND predefined_function IS NOT NULL)
OR
(job_type = 'custom_code' AND python_code IS NOT NULL)
)
);
-- 索引
CREATE INDEX idx_scheduled_jobs_active ON scheduled_jobs(is_active);
CREATE INDEX idx_scheduled_jobs_next_run ON scheduled_jobs(next_run_at);
CREATE INDEX idx_scheduled_jobs_function ON scheduled_jobs(predefined_function);
-- 注释
COMMENT ON TABLE scheduled_jobs IS '定时任务配置表';
COMMENT ON COLUMN scheduled_jobs.job_type IS '任务类型predefined(预定义任务), custom_code(自定义代码)';
COMMENT ON COLUMN scheduled_jobs.predefined_function IS '预定义任务函数名如sync_solar_system_positions';
COMMENT ON COLUMN scheduled_jobs.function_params IS '任务参数JSON格式不同预定义任务参数不同';
COMMENT ON COLUMN scheduled_jobs.cron_expression IS 'CRON表达式格式分 时 日 月 周';
COMMENT ON COLUMN scheduled_jobs.python_code IS '自定义Python代码仅job_type=custom_code时使用需管理员权限';
COMMENT ON COLUMN scheduled_jobs.last_run_status IS '最后执行状态success, failed';
```
#### 预定义任务列表
| 函数名 | 说明 | 参数 |
|--------|------|------|
| `sync_solar_system_positions` | 同步太阳系天体位置数据 | `body_ids`: 天体ID列表可选默认所有<br>`days`: 同步天数默认7<br>`source`: 数据源标记默认nasa_horizons_cron |
| `sync_celestial_events` | 同步天体事件数据 | *预留,暂未实现* |
#### 使用示例
**示例1创建预定义任务 - 每日同步太阳系位置**
```sql
INSERT INTO scheduled_jobs (name, job_type, predefined_function, function_params, cron_expression, description)
VALUES (
'每日同步太阳系天体位置',
'predefined',
'sync_solar_system_positions',
'{"days": 7, "source": "nasa_horizons_cron"}'::jsonb,
'0 2 * * *', -- 每天凌晨2点执行
'自动从NASA Horizons拉取太阳系主要天体的位置数据'
);
```
**示例2创建自定义代码任务管理员专用**
```sql
INSERT INTO scheduled_jobs (name, job_type, python_code, cron_expression, description)
VALUES (
'数据库清理任务',
'custom_code',
'logger.info("Starting cleanup...")\nawait db.execute("DELETE FROM positions WHERE time < NOW() - INTERVAL ''1 year''")\nawait db.commit()',
'0 3 * * 0', -- 每周日凌晨3点执行
'清理一年前的旧位置数据'
);
```
---
## 5. 缓存表
### 5.1 nasa_cache - NASA API缓存表
@ -700,6 +783,7 @@ users (用户)
└── role_menus (N:M) ←→ menus (菜单)
tasks (任务) - 独立表
scheduled_jobs (定时任务) - 独立表
system_settings (配置) - 独立表
static_data (静态数据) - 独立表
nasa_cache (缓存) - 独立表

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@ -3,7 +3,7 @@ Orbit Management API routes
Handles precomputed orbital data for celestial bodies
"""
import logging
from fastapi import APIRouter, HTTPException, Depends, Query
from fastapi import APIRouter, HTTPException, Depends, Query, BackgroundTasks
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Optional
@ -11,6 +11,8 @@ from app.database import get_db
from app.services.horizons import horizons_service
from app.services.db_service import celestial_body_service
from app.services.orbit_service import orbit_service
from app.services.task_service import task_service
from app.services.nasa_worker import generate_orbits_task
logger = logging.getLogger(__name__)
@ -60,143 +62,52 @@ async def get_orbits(
@router.post("/admin/orbits/generate")
async def generate_orbits(
background_tasks: BackgroundTasks,
body_ids: Optional[str] = Query(None, description="Comma-separated body IDs to generate. If empty, generates for all planets and dwarf planets"),
db: AsyncSession = Depends(get_db)
):
"""
Generate orbital data for celestial bodies
Generate orbital data for celestial bodies (Background Task)
This endpoint queries NASA Horizons API to get complete orbital paths
and stores them in the orbits table for fast frontend rendering.
This endpoint starts a background task to query NASA Horizons API
and generate complete orbital paths.
Query parameters:
- body_ids: Optional comma-separated list of body IDs (e.g., "399,999")
If not provided, generates orbits for all planets and dwarf planets
Returns:
- List of generated orbits with success/failure status
- Task ID and status message
"""
logger.info("🌌 Starting orbit generation...")
# Orbital periods in days (from astronomical data)
# Note: NASA Horizons data is limited to ~2199 for most bodies
# We use single complete orbits that fit within this range
ORBITAL_PERIODS = {
# Planets - single complete orbit
"199": 88.0, # Mercury
"299": 224.7, # Venus
"399": 365.25, # Earth
"499": 687.0, # Mars
"599": 4333.0, # Jupiter (11.86 years)
"699": 10759.0, # Saturn (29.46 years)
"799": 30687.0, # Uranus (84.01 years)
"899": 60190.0, # Neptune (164.79 years)
# Dwarf Planets - single complete orbit
"999": 90560.0, # Pluto (247.94 years - full orbit)
"2000001": 1680.0, # Ceres (4.6 years)
"136199": 203500.0, # Eris (557 years - full orbit)
"136108": 104000.0, # Haumea (285 years - full orbit)
"136472": 112897.0, # Makemake (309 years - full orbit)
}
# Default colors for orbits
DEFAULT_COLORS = {
"199": "#8C7853", # Mercury - brownish
"299": "#FFC649", # Venus - yellowish
"399": "#4A90E2", # Earth - blue
"499": "#CD5C5C", # Mars - red
"599": "#DAA520", # Jupiter - golden
"699": "#F4A460", # Saturn - sandy brown
"799": "#4FD1C5", # Uranus - cyan
"899": "#4169E1", # Neptune - royal blue
"999": "#8B7355", # Pluto - brown
"2000001": "#9E9E9E", # Ceres - gray
"136199": "#E0E0E0", # Eris - light gray
"136108": "#D4A574", # Haumea - tan
"136472": "#C49A6C", # Makemake - beige
}
logger.info("🌌 Starting orbit generation task...")
try:
# Determine which bodies to generate orbits for
if body_ids:
# Parse comma-separated list
target_body_ids = [bid.strip() for bid in body_ids.split(",")]
bodies_to_process = []
# Parse body_ids if provided
target_body_ids = [bid.strip() for bid in body_ids.split(",")] if body_ids else None
# Create task record
task_description = f"Generate orbits for {len(target_body_ids) if target_body_ids else 'all'} bodies"
if target_body_ids:
task_description += f": {', '.join(target_body_ids[:3])}..."
for bid in target_body_ids:
body = await celestial_body_service.get_body_by_id(bid, db)
if body:
bodies_to_process.append(body)
else:
logger.warning(f"Body {bid} not found in database")
else:
# Get all planets and dwarf planets
all_bodies = await celestial_body_service.get_all_bodies(db)
bodies_to_process = [
b for b in all_bodies
if b.type in ["planet", "dwarf_planet"] and b.id in ORBITAL_PERIODS
]
task = await task_service.create_task(
db,
task_type="orbit_generation",
description=task_description,
params={"body_ids": target_body_ids},
created_by=None # System or Admin
)
if not bodies_to_process:
raise HTTPException(status_code=400, detail="No valid bodies to process")
logger.info(f"📋 Generating orbits for {len(bodies_to_process)} bodies")
results = []
success_count = 0
failure_count = 0
for body in bodies_to_process:
try:
# 优先从天体的extra_data读取轨道参数
extra_data = body.extra_data or {}
period = extra_data.get("orbit_period_days") or ORBITAL_PERIODS.get(body.id)
if not period:
logger.warning(f"No orbital period defined for {body.name}, skipping")
continue
# 优先从extra_data读取颜色其次从默认颜色字典最后使用默认灰色
color = extra_data.get("orbit_color") or DEFAULT_COLORS.get(body.id, "#CCCCCC")
# Generate orbit
orbit = await orbit_service.generate_orbit(
body_id=body.id,
body_name=body.name_zh or body.name,
period_days=period,
color=color,
session=db,
horizons_service=horizons_service
)
results.append({
"body_id": body.id,
"body_name": body.name_zh or body.name,
"status": "success",
"num_points": orbit.num_points,
"period_days": orbit.period_days
})
success_count += 1
except Exception as e:
logger.error(f"Failed to generate orbit for {body.name}: {e}")
results.append({
"body_id": body.id,
"body_name": body.name_zh or body.name,
"status": "failed",
"error": str(e)
})
failure_count += 1
logger.info(f"🎉 Orbit generation complete: {success_count} succeeded, {failure_count} failed")
# Add to background tasks
background_tasks.add_task(generate_orbits_task, task.id, target_body_ids)
return {
"message": f"Generated {success_count} orbits ({failure_count} failed)",
"results": results
"message": "Orbit generation task started",
"task_id": task.id
}
except Exception as e:
logger.error(f"Orbit generation failed: {e}")
logger.error(f"Orbit generation start failed: {e}")
raise HTTPException(status_code=500, detail=str(e))

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@ -0,0 +1,271 @@
"""
Scheduled Jobs Management API
"""
import logging
import asyncio
from typing import List, Optional, Dict, Any
from datetime import datetime
from fastapi import APIRouter, HTTPException, Depends, status
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from pydantic import BaseModel
from app.database import get_db
from app.models.db.scheduled_job import ScheduledJob, JobType
from app.services.scheduler_service import scheduler_service
from app.services.code_validator import code_validator
from app.jobs.registry import task_registry
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/scheduled-jobs", tags=["scheduled-jobs"])
# Pydantic Models
class ScheduledJobBase(BaseModel):
name: str
cron_expression: str
description: Optional[str] = None
is_active: bool = True
class ScheduledJobCreatePredefined(ScheduledJobBase):
"""Create predefined task job"""
job_type: str = "predefined"
predefined_function: str
function_params: Optional[Dict[str, Any]] = {}
class ScheduledJobCreateCustomCode(ScheduledJobBase):
"""Create custom code job"""
job_type: str = "custom_code"
python_code: str
class ScheduledJobUpdate(BaseModel):
name: Optional[str] = None
cron_expression: Optional[str] = None
job_type: Optional[str] = None
predefined_function: Optional[str] = None
function_params: Optional[Dict[str, Any]] = None
python_code: Optional[str] = None
description: Optional[str] = None
is_active: Optional[bool] = None
class ScheduledJobResponse(BaseModel):
id: int
name: str
job_type: str
predefined_function: Optional[str] = None
function_params: Optional[Dict[str, Any]] = None
cron_expression: str
python_code: Optional[str] = None
is_active: bool
last_run_at: Optional[datetime] = None
last_run_status: Optional[str] = None
next_run_at: Optional[datetime] = None
description: Optional[str] = None
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
@router.get("", response_model=List[ScheduledJobResponse])
async def get_scheduled_jobs(db: AsyncSession = Depends(get_db)):
"""Get all scheduled jobs"""
result = await db.execute(select(ScheduledJob).order_by(ScheduledJob.id))
return result.scalars().all()
@router.get("/available-tasks", response_model=List[Dict[str, Any]])
async def get_available_tasks():
"""Get list of all available predefined tasks"""
tasks = task_registry.list_tasks()
return tasks
@router.get("/{job_id}", response_model=ScheduledJobResponse)
async def get_scheduled_job(job_id: int, db: AsyncSession = Depends(get_db)):
"""Get a specific scheduled job"""
result = await db.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if not job:
raise HTTPException(status_code=404, detail="Job not found")
return job
@router.post("", response_model=ScheduledJobResponse, status_code=status.HTTP_201_CREATED)
async def create_scheduled_job(
job_data: Dict[str, Any],
db: AsyncSession = Depends(get_db)
):
"""Create a new scheduled job (predefined or custom code)"""
job_type = job_data.get("job_type", "predefined")
# Validate job type
if job_type not in ["predefined", "custom_code"]:
raise HTTPException(status_code=400, detail="job_type must be 'predefined' or 'custom_code'")
# Validate based on job type
if job_type == "predefined":
# Validate predefined function exists
predefined_function = job_data.get("predefined_function")
if not predefined_function:
raise HTTPException(status_code=400, detail="predefined_function is required for predefined jobs")
task_def = task_registry.get_task(predefined_function)
if not task_def:
raise HTTPException(
status_code=400,
detail=f"Predefined task '{predefined_function}' not found. Use /scheduled-jobs/available-tasks to list available tasks."
)
# Create job
new_job = ScheduledJob(
name=job_data["name"],
job_type=JobType.PREDEFINED,
predefined_function=predefined_function,
function_params=job_data.get("function_params", {}),
cron_expression=job_data["cron_expression"],
description=job_data.get("description"),
is_active=job_data.get("is_active", True)
)
else: # custom_code
# Validate python code
python_code = job_data.get("python_code")
if not python_code:
raise HTTPException(status_code=400, detail="python_code is required for custom_code jobs")
validation_result = code_validator.validate_code(python_code)
if not validation_result["valid"]:
raise HTTPException(
status_code=400,
detail={
"message": "代码验证失败",
"errors": validation_result["errors"],
"warnings": validation_result["warnings"]
}
)
# Log warnings if any
if validation_result["warnings"]:
logger.warning(f"Code validation warnings: {validation_result['warnings']}")
# Create job
new_job = ScheduledJob(
name=job_data["name"],
job_type=JobType.CUSTOM_CODE,
python_code=python_code,
cron_expression=job_data["cron_expression"],
description=job_data.get("description"),
is_active=job_data.get("is_active", True)
)
db.add(new_job)
await db.commit()
await db.refresh(new_job)
# Schedule it
if new_job.is_active:
scheduler_service.add_job_to_scheduler(new_job)
return new_job
@router.put("/{job_id}", response_model=ScheduledJobResponse)
async def update_scheduled_job(
job_id: int,
job_data: ScheduledJobUpdate,
db: AsyncSession = Depends(get_db)
):
"""Update a scheduled job"""
result = await db.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if not job:
raise HTTPException(status_code=404, detail="Job not found")
# Validate if changing job_type
if job_data.job_type is not None and job_data.job_type != job.job_type.value:
if job_data.job_type == "predefined":
if not job_data.predefined_function:
raise HTTPException(status_code=400, detail="predefined_function is required when changing to predefined type")
task_def = task_registry.get_task(job_data.predefined_function)
if not task_def:
raise HTTPException(status_code=400, detail=f"Task '{job_data.predefined_function}' not found")
elif job_data.job_type == "custom_code":
if not job_data.python_code:
raise HTTPException(status_code=400, detail="python_code is required when changing to custom_code type")
# Validate python code if being updated
if job_data.python_code is not None:
validation_result = code_validator.validate_code(job_data.python_code)
if not validation_result["valid"]:
raise HTTPException(
status_code=400,
detail={
"message": "代码验证失败",
"errors": validation_result["errors"],
"warnings": validation_result["warnings"]
}
)
if validation_result["warnings"]:
logger.warning(f"Code validation warnings: {validation_result['warnings']}")
# Validate predefined function if being updated
if job_data.predefined_function is not None:
task_def = task_registry.get_task(job_data.predefined_function)
if not task_def:
raise HTTPException(status_code=400, detail=f"Task '{job_data.predefined_function}' not found")
# Update fields
update_dict = job_data.dict(exclude_unset=True)
for key, value in update_dict.items():
if key == "job_type":
setattr(job, key, JobType(value))
else:
setattr(job, key, value)
job.updated_at = datetime.utcnow()
await db.commit()
await db.refresh(job)
# Update scheduler
await scheduler_service.reload_job(job.id)
return job
@router.delete("/{job_id}")
async def delete_scheduled_job(job_id: int, db: AsyncSession = Depends(get_db)):
"""Delete a scheduled job"""
result = await db.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if not job:
raise HTTPException(status_code=404, detail="Job not found")
# Remove from scheduler
scheduler_service.remove_job(job_id)
await db.delete(job)
await db.commit()
return {"message": "Job deleted successfully"}
@router.post("/{job_id}/run")
async def run_scheduled_job(job_id: int, db: AsyncSession = Depends(get_db)):
"""Manually trigger a scheduled job immediately"""
result = await db.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if not job:
raise HTTPException(status_code=404, detail="Job not found")
# Trigger async execution
# We use create_task to run it in background so API returns immediately
asyncio.create_task(scheduler_service.run_job_now(job_id))
return {"message": f"Job '{job.name}' triggered successfully"}

View File

@ -245,6 +245,46 @@ async def get_cache_stats():
}
@router.post("/settings/reload")
async def reload_system_settings(
db: AsyncSession = Depends(get_db)
):
"""
Reload system settings from database into memory
This updates the active configuration (like nasa_api_timeout) without restarting the server.
"""
logger.info("🔄 Reloading system settings from database...")
# 1. Fetch all settings from DB
all_settings = await system_settings_service.get_all_settings(db)
# 2. Update app config
from app.config import settings
updated_count = 0
for setting in all_settings:
# Check if this setting maps to an app config
if hasattr(settings, setting.key):
try:
# Convert value
val = await system_settings_service.get_setting_value(setting.key, db)
# Update config
setattr(settings, setting.key, val)
updated_count += 1
logger.info(f" Updated config: {setting.key} = {val}")
except Exception as e:
logger.warning(f" Failed to update config {setting.key}: {e}")
logger.info(f"✅ Reload complete. Updated {updated_count} configuration values.")
return {
"message": f"System settings reloaded successfully. Updated {updated_count} values.",
"updated_count": updated_count
}
@router.post("/settings/init-defaults")
async def initialize_default_settings(
db: AsyncSession = Depends(get_db)

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@ -0,0 +1,7 @@
"""
Scheduled Jobs Package
Contains predefined task implementations and registry
"""
from app.jobs.registry import task_registry
__all__ = ["task_registry"]

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@ -0,0 +1,237 @@
"""
Predefined Scheduled Tasks
All registered tasks for scheduled execution
"""
import logging
from datetime import datetime, timedelta
from typing import Dict, Any, List, Optional
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.dialects.postgresql import insert
from app.jobs.registry import task_registry
from app.models.db.celestial_body import CelestialBody
from app.models.db.position import Position
from app.services.horizons import HorizonsService
logger = logging.getLogger(__name__)
@task_registry.register(
name="sync_solar_system_positions",
description="同步太阳系天体位置数据从NASA Horizons API获取指定天体的位置数据并保存到数据库",
category="data_sync",
parameters=[
{
"name": "body_ids",
"type": "array",
"description": "要同步的天体ID列表例如['10', '199', '299']。如果不指定,则同步所有活跃的太阳系天体",
"required": False,
"default": None
},
{
"name": "days",
"type": "integer",
"description": "同步天数,从今天开始向未来延伸的天数",
"required": False,
"default": 7
},
{
"name": "source",
"type": "string",
"description": "数据源标记,用于标识数据来源",
"required": False,
"default": "nasa_horizons_cron"
}
]
)
async def sync_solar_system_positions(
db: AsyncSession,
logger: logging.Logger,
params: Dict[str, Any]
) -> Dict[str, Any]:
"""
Sync solar system body positions from NASA Horizons
Args:
db: Database session
logger: Logger instance
params: Task parameters
- body_ids: List of body IDs to sync (optional, defaults to all active)
- days: Number of days to sync (default: 7)
- source: Source tag for the data (default: "nasa_horizons_cron")
Returns:
Summary of sync operation
"""
body_ids = params.get("body_ids")
days = params.get("days", 7)
source = params.get("source", "nasa_horizons_cron")
logger.info(f"Starting solar system position sync: days={days}, source={source}")
# Get list of bodies to sync
if body_ids:
# Use specified body IDs
result = await db.execute(
select(CelestialBody).where(
CelestialBody.id.in_(body_ids),
CelestialBody.is_active == True
)
)
bodies = result.scalars().all()
logger.info(f"Syncing {len(bodies)} specified bodies")
else:
# Get all active solar system bodies
# Typically solar system bodies include planets, dwarf planets, and major satellites
result = await db.execute(
select(CelestialBody).where(
CelestialBody.is_active == True,
CelestialBody.system_id == 1,
CelestialBody.type.in_(['planet', 'dwarf_planet', 'satellite'])
)
)
bodies = result.scalars().all()
logger.info(f"Syncing all {len(bodies)} active solar system bodies")
if not bodies:
logger.warning("No bodies found to sync")
return {
"success": True,
"bodies_synced": 0,
"total_positions": 0,
"message": "No bodies found"
}
# Initialize services
horizons = HorizonsService()
# Sync positions for each body
total_positions = 0
synced_bodies = []
failed_bodies = []
start_time = datetime.utcnow()
end_time = start_time + timedelta(days=days)
for body in bodies:
# Use savepoint for this body's operations
async with db.begin_nested(): # Creates a SAVEPOINT
try:
logger.debug(f"Fetching positions for {body.name} ({body.id})")
# Fetch positions from NASA Horizons
positions = await horizons.get_body_positions(
body_id=body.id,
start_time=start_time,
end_time=end_time,
step="1d" # Daily positions
)
# Save positions to database (upsert logic)
count = 0
for pos in positions:
# Use PostgreSQL's INSERT ... ON CONFLICT to handle duplicates
stmt = insert(Position).values(
body_id=body.id,
time=pos.time,
x=pos.x,
y=pos.y,
z=pos.z,
vx=getattr(pos, 'vx', None),
vy=getattr(pos, 'vy', None),
vz=getattr(pos, 'vz', None),
source=source
)
# On conflict (body_id, time), update the existing record
stmt = stmt.on_conflict_do_update(
index_elements=['body_id', 'time'],
set_={
'x': pos.x,
'y': pos.y,
'z': pos.z,
'vx': getattr(pos, 'vx', None),
'vy': getattr(pos, 'vy', None),
'vz': getattr(pos, 'vz', None),
'source': source
}
)
await db.execute(stmt)
count += 1
# Savepoint will auto-commit if no exception
total_positions += count
synced_bodies.append(body.name)
logger.debug(f"Saved {count} positions for {body.name}")
except Exception as e:
# Savepoint will auto-rollback on exception
logger.error(f"Failed to sync {body.name}: {str(e)}")
failed_bodies.append({"body": body.name, "error": str(e)})
# Continue to next body
# Summary
result = {
"success": len(failed_bodies) == 0,
"bodies_synced": len(synced_bodies),
"total_positions": total_positions,
"synced_bodies": synced_bodies,
"failed_bodies": failed_bodies,
"time_range": f"{start_time.date()} to {end_time.date()}",
"source": source
}
logger.info(f"Sync completed: {len(synced_bodies)} bodies, {total_positions} positions")
return result
@task_registry.register(
name="sync_celestial_events",
description="同步天体事件数据(预留功能,暂未实现)",
category="data_sync",
parameters=[
{
"name": "event_types",
"type": "array",
"description": "事件类型列表,如['eclipse', 'conjunction', 'opposition']",
"required": False,
"default": None
},
{
"name": "days_ahead",
"type": "integer",
"description": "向未来查询的天数",
"required": False,
"default": 30
}
]
)
async def sync_celestial_events(
db: AsyncSession,
logger: logging.Logger,
params: Dict[str, Any]
) -> Dict[str, Any]:
"""
Sync celestial events (PLACEHOLDER - NOT IMPLEMENTED YET)
This is a reserved task for future implementation.
It will sync astronomical events like eclipses, conjunctions, oppositions, etc.
Args:
db: Database session
logger: Logger instance
params: Task parameters
- event_types: Types of events to sync
- days_ahead: Number of days ahead to query
Returns:
Summary of sync operation
"""
logger.warning("sync_celestial_events is not implemented yet")
return {
"success": False,
"message": "This task is reserved for future implementation",
"events_synced": 0
}

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@ -0,0 +1,152 @@
"""
Task Registry System for Scheduled Jobs
This module provides a decorator-based registration system for predefined tasks.
Tasks are registered with their metadata, parameters schema, and execution function.
"""
import logging
from typing import Dict, Callable, Any, List, Optional
from dataclasses import dataclass, field
from pydantic import BaseModel, Field
logger = logging.getLogger(__name__)
class TaskParameter(BaseModel):
"""Task parameter definition"""
name: str = Field(..., description="Parameter name")
type: str = Field(..., description="Parameter type (string, integer, array, boolean)")
description: str = Field(..., description="Parameter description")
required: bool = Field(default=False, description="Whether parameter is required")
default: Any = Field(default=None, description="Default value")
@dataclass
class TaskDefinition:
"""Registered task definition"""
name: str
function: Callable
description: str
parameters: List[TaskParameter] = field(default_factory=list)
category: str = "general"
class TaskRegistry:
"""Registry for predefined scheduled tasks"""
def __init__(self):
self._tasks: Dict[str, TaskDefinition] = {}
def register(
self,
name: str,
description: str,
parameters: Optional[List[Dict[str, Any]]] = None,
category: str = "general"
):
"""
Decorator to register a task function
Usage:
@task_registry.register(
name="sync_positions",
description="Sync celestial body positions",
parameters=[
{"name": "days", "type": "integer", "description": "Days to sync", "default": 7}
]
)
async def sync_positions_task(db, logger, params):
# Task implementation
pass
"""
def decorator(func: Callable):
# Parse parameters
param_list = []
if parameters:
for p in parameters:
param_list.append(TaskParameter(**p))
# Register the task
task_def = TaskDefinition(
name=name,
function=func,
description=description,
parameters=param_list,
category=category
)
self._tasks[name] = task_def
logger.debug(f"Registered task: {name}")
return func
return decorator
def get_task(self, name: str) -> Optional[TaskDefinition]:
"""Get a task definition by name"""
return self._tasks.get(name)
def list_tasks(self) -> List[Dict[str, Any]]:
"""List all registered tasks with their metadata"""
return [
{
"name": task.name,
"description": task.description,
"category": task.category,
"parameters": [
{
"name": p.name,
"type": p.type,
"description": p.description,
"required": p.required,
"default": p.default
}
for p in task.parameters
]
}
for task in self._tasks.values()
]
async def execute_task(
self,
name: str,
db: Any,
logger: logging.Logger,
params: Dict[str, Any]
) -> Any:
"""
Execute a registered task
Args:
name: Task function name
db: Database session
logger: Logger instance
params: Task parameters from function_params JSONB field
Returns:
Task execution result
Raises:
ValueError: If task not found
"""
task_def = self.get_task(name)
if not task_def:
raise ValueError(f"Task '{name}' not found in registry")
# Merge default parameters
merged_params = {}
for param in task_def.parameters:
if param.name in params:
merged_params[param.name] = params[param.name]
elif param.default is not None:
merged_params[param.name] = param.default
elif param.required:
raise ValueError(f"Required parameter '{param.name}' not provided")
# Execute the task function
logger.debug(f"Executing task '{name}' with params: {merged_params}")
result = await task_def.function(db=db, logger=logger, params=merged_params)
logger.debug(f"Task '{name}' completed successfully")
return result
# Global task registry instance
task_registry = TaskRegistry()

View File

@ -30,8 +30,10 @@ from app.api.celestial_orbit import router as celestial_orbit_router
from app.api.nasa_download import router as nasa_download_router
from app.api.celestial_position import router as celestial_position_router
from app.api.star_system import router as star_system_router
from app.api.scheduled_job import router as scheduled_job_router
from app.services.redis_cache import redis_cache
from app.services.cache_preheat import preheat_all_caches
from app.services.scheduler_service import scheduler_service
from app.database import close_db
# Configure logging
@ -47,6 +49,7 @@ if log_level == logging.WARNING:
logging.getLogger("app.services.cache").setLevel(logging.ERROR)
logging.getLogger("app.services.redis_cache").setLevel(logging.ERROR)
logging.getLogger("app.api.celestial_position").setLevel(logging.WARNING)
logging.getLogger("apscheduler").setLevel(logging.WARNING)
logger = logging.getLogger(__name__)
@ -80,6 +83,9 @@ async def lifespan(app: FastAPI):
# Preheat caches (load from database to Redis)
await preheat_all_caches()
# Start Scheduler
scheduler_service.start()
logger.info("✓ Application started successfully")
logger.info("=" * 60)
@ -89,6 +95,9 @@ async def lifespan(app: FastAPI):
logger.info("=" * 60)
logger.info("Shutting down Cosmo Backend API...")
# Stop Scheduler
scheduler_service.shutdown()
# Disconnect Redis
await redis_cache.disconnect()
@ -134,6 +143,7 @@ app.include_router(celestial_static_router, prefix=settings.api_prefix)
app.include_router(cache_router, prefix=settings.api_prefix)
app.include_router(nasa_download_router, prefix=settings.api_prefix)
app.include_router(task_router, prefix=settings.api_prefix)
app.include_router(scheduled_job_router, prefix=settings.api_prefix) # Added scheduled_job_router
# Mount static files for uploaded resources
upload_dir = Path(__file__).parent.parent / "upload"

View File

@ -40,7 +40,7 @@ class Position(Base):
# Constraints and indexes
__table_args__ = (
CheckConstraint(
"source IN ('nasa_horizons', 'calculated', 'user_defined', 'imported')",
"source IN ('nasa_horizons', 'nasa_horizons_cron', 'calculated', 'user_defined', 'imported')",
name="chk_source",
),
Index("idx_positions_body_time", "body_id", "time", postgresql_using="btree"),

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@ -0,0 +1,59 @@
"""
Scheduled Job ORM model
"""
from sqlalchemy import Column, String, Integer, TIMESTAMP, Boolean, Text, Enum, CheckConstraint
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.sql import func
from app.database import Base
import enum
class JobType(str, enum.Enum):
"""Job type enumeration"""
PREDEFINED = "predefined"
CUSTOM_CODE = "custom_code"
class ScheduledJob(Base):
"""Scheduled jobs configuration"""
__tablename__ = "scheduled_jobs"
id = Column(Integer, primary_key=True, autoincrement=True)
name = Column(String(100), nullable=False, comment="Task name")
job_type = Column(
Enum(JobType, values_callable=lambda obj: [e.value for e in obj]),
nullable=False,
default=JobType.PREDEFINED,
comment="Job type: predefined or custom_code"
)
predefined_function = Column(
String(100),
nullable=True,
comment="Predefined function name (required if job_type=predefined)"
)
function_params = Column(
JSONB,
nullable=True,
default={},
comment="JSON parameters for predefined function"
)
cron_expression = Column(String(50), nullable=False, comment="CRON expression")
python_code = Column(Text, nullable=True, comment="Dynamic Python code (only for custom_code type)")
is_active = Column(Boolean, default=True, comment="Active status")
last_run_at = Column(TIMESTAMP, nullable=True, comment="Last execution time")
last_run_status = Column(String(20), nullable=True, comment="Last execution status")
next_run_at = Column(TIMESTAMP, nullable=True, comment="Next scheduled execution time")
description = Column(Text, nullable=True, comment="Description")
created_at = Column(TIMESTAMP, server_default=func.now())
updated_at = Column(TIMESTAMP, server_default=func.now(), onupdate=func.now())
__table_args__ = (
CheckConstraint(
"(job_type = 'predefined' AND predefined_function IS NOT NULL) OR (job_type = 'custom_code' AND python_code IS NOT NULL)",
name="chk_job_type_fields"
),
)
def __repr__(self):
return f"<ScheduledJob(id={self.id}, name='{self.name}', cron='{self.cron_expression}')>"

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@ -0,0 +1,137 @@
"""
Python Code Validator for Scheduled Jobs
验证用户提交的 Python 代码安全性和语法正确性
"""
import ast
import re
from typing import Dict, List, Tuple
class PythonCodeValidator:
"""验证Python代码的安全性和有效性"""
# 危险的内置函数和模块
DANGEROUS_BUILTINS = {
'eval', 'exec', 'compile', '__import__',
'open', 'file', 'input', 'raw_input',
'execfile', 'reload',
}
# 危险的模块
DANGEROUS_MODULES = {
'os', 'sys', 'subprocess', 'socket',
'shutil', 'pickle', 'multiprocessing',
'threading', 'ctypes', 'importlib',
}
# 允许的模块(白名单)
ALLOWED_MODULES = {
'asyncio', 'datetime', 'math', 'json',
'logging', 'typing', 'collections',
'app.services', 'app.models', 'sqlalchemy',
}
@staticmethod
def validate_syntax(code: str) -> Tuple[bool, str]:
"""
验证Python代码语法
Returns:
(is_valid, error_message)
"""
try:
ast.parse(code)
return True, ""
except SyntaxError as e:
return False, f"语法错误 (第{e.lineno}行): {e.msg}"
except Exception as e:
return False, f"代码解析错误: {str(e)}"
@staticmethod
def check_dangerous_functions(code: str) -> Tuple[bool, List[str]]:
"""
检查是否使用了危险函数
Returns:
(is_safe, dangerous_items)
"""
dangerous_found = []
try:
tree = ast.parse(code)
for node in ast.walk(tree):
# 检查函数调用
if isinstance(node, ast.Call):
if isinstance(node.func, ast.Name):
if node.func.id in PythonCodeValidator.DANGEROUS_BUILTINS:
dangerous_found.append(f"危险函数: {node.func.id}")
# 检查模块导入
elif isinstance(node, ast.Import):
for alias in node.names:
module_name = alias.name.split('.')[0]
if module_name in PythonCodeValidator.DANGEROUS_MODULES:
if not any(module_name.startswith(allowed) for allowed in PythonCodeValidator.ALLOWED_MODULES):
dangerous_found.append(f"危险模块导入: {alias.name}")
elif isinstance(node, ast.ImportFrom):
if node.module:
module_name = node.module.split('.')[0]
if module_name in PythonCodeValidator.DANGEROUS_MODULES:
if not any(module_name.startswith(allowed) for allowed in PythonCodeValidator.ALLOWED_MODULES):
dangerous_found.append(f"危险模块导入: from {node.module}")
return len(dangerous_found) == 0, dangerous_found
except Exception as e:
return False, [f"代码分析错误: {str(e)}"]
@staticmethod
def validate_code(code: str) -> Dict:
"""
完整的代码验证
Returns:
{
"valid": bool,
"errors": List[str],
"warnings": List[str]
}
"""
errors = []
warnings = []
# 1. 检查代码是否为空
if not code or not code.strip():
errors.append("代码不能为空")
return {"valid": False, "errors": errors, "warnings": warnings}
# 2. 语法验证
syntax_valid, syntax_error = PythonCodeValidator.validate_syntax(code)
if not syntax_valid:
errors.append(syntax_error)
return {"valid": False, "errors": errors, "warnings": warnings}
# 3. 安全检查
is_safe, dangerous_items = PythonCodeValidator.check_dangerous_functions(code)
if not is_safe:
errors.extend(dangerous_items)
# 4. 检查代码长度
if len(code) > 10000: # 10KB limit
warnings.append("代码过长,可能影响性能")
# 5. 检查是否包含无限循环风险
if re.search(r'while\s+True\s*:', code):
warnings.append("检测到 'while True',请确保有退出条件")
return {
"valid": len(errors) == 0,
"errors": errors,
"warnings": warnings
}
# 导出验证器实例
code_validator = PythonCodeValidator()

View File

@ -62,7 +62,7 @@ class HorizonsService:
return response.text
except Exception as e:
logger.error(f"Error fetching raw data for {body_id}: {str(e)}")
logger.error(f"Error fetching raw data for {body_id}: {repr(e)}")
raise
async def get_body_positions(
@ -142,7 +142,7 @@ class HorizonsService:
return self._parse_vectors(response.text)
except Exception as e:
logger.error(f"Error querying Horizons for body {body_id}: {str(e)}")
logger.error(f"Error querying Horizons for body {body_id}: {repr(e)}")
raise
def _parse_vectors(self, text: str) -> list[Position]:

View File

@ -2,12 +2,13 @@ import logging
import asyncio
from datetime import datetime
from sqlalchemy.ext.asyncio import AsyncSession
from typing import List
from typing import List, Optional
from app.database import AsyncSessionLocal
from app.services.task_service import task_service
from app.services.db_service import celestial_body_service, position_service
from app.services.horizons import horizons_service
from app.services.orbit_service import orbit_service
logger = logging.getLogger(__name__)
@ -118,3 +119,118 @@ async def download_positions_task(task_id: int, body_ids: List[str], dates: List
except Exception as e:
logger.error(f"Task {task_id} failed critically: {e}")
await task_service.fail_task(db, task_id, str(e))
async def generate_orbits_task(task_id: int, body_ids: Optional[List[str]] = None):
"""
Background task to generate orbits
Args:
task_id: ID of the task record to update
body_ids: List of body IDs to generate. If None, generates for all bodies with orbital params.
"""
logger.info(f"🚀 Starting background orbit generation task {task_id}")
async with AsyncSessionLocal() as db:
try:
# Update task to running
await task_service.update_task(
db, task_id, status="running", started_at=datetime.utcnow(), progress=0
)
# 1. Determine bodies to process
bodies_to_process = []
if body_ids:
# Fetch specific bodies requested
for bid in body_ids:
body = await celestial_body_service.get_body_by_id(bid, db)
if body:
bodies_to_process.append(body)
else:
# Fetch all bodies
bodies_to_process = await celestial_body_service.get_all_bodies(db)
# 2. Filter for valid orbital parameters
valid_bodies = []
for body in bodies_to_process:
extra_data = body.extra_data or {}
# Must have orbit_period_days to generate an orbit
if extra_data.get("orbit_period_days"):
valid_bodies.append(body)
elif body_ids and body.id in body_ids:
# If explicitly requested but missing period, log warning
logger.warning(f"Body {body.name} ({body.id}) missing 'orbit_period_days', skipping.")
total_bodies = len(valid_bodies)
if total_bodies == 0:
await task_service.update_task(
db, task_id, status="completed", progress=100,
result={"message": "No bodies with 'orbit_period_days' found to process"}
)
return
# 3. Process
success_count = 0
failure_count = 0
results = []
for i, body in enumerate(valid_bodies):
try:
# Update progress
progress = int((i / total_bodies) * 100)
await task_service.update_task(db, task_id, progress=progress)
extra_data = body.extra_data or {}
period = float(extra_data.get("orbit_period_days"))
color = extra_data.get("orbit_color", "#CCCCCC")
# Generate orbit
orbit = await orbit_service.generate_orbit(
body_id=body.id,
body_name=body.name_zh or body.name,
period_days=period,
color=color,
session=db,
horizons_service=horizons_service
)
results.append({
"body_id": body.id,
"body_name": body.name_zh or body.name,
"status": "success",
"num_points": orbit.num_points
})
success_count += 1
except Exception as e:
logger.error(f"Failed to generate orbit for {body.name}: {e}")
results.append({
"body_id": body.id,
"body_name": body.name_zh or body.name,
"status": "failed",
"error": str(e)
})
failure_count += 1
# Finish task
await task_service.update_task(
db,
task_id,
status="completed",
progress=100,
completed_at=datetime.utcnow(),
result={
"total": total_bodies,
"success": success_count,
"failed": failure_count,
"details": results
}
)
logger.info(f"🏁 Orbit generation task {task_id} completed")
except Exception as e:
logger.error(f"Task {task_id} failed: {e}")
await task_service.update_task(
db, task_id, status="failed", error_message=str(e), completed_at=datetime.utcnow()
)

View File

@ -16,223 +16,664 @@ logger = logging.getLogger(__name__)
class OrbitService:
"""Service for orbit CRUD operations and generation"""
@staticmethod
async def get_orbit(body_id: str, session: AsyncSession) -> Optional[Orbit]:
"""Get orbit data for a specific body"""
result = await session.execute(
select(Orbit).where(Orbit.body_id == body_id)
)
return result.scalar_one_or_none()
@staticmethod
async def get_all_orbits(
session: AsyncSession,
body_type: Optional[str] = None
) -> List[Orbit]:
"""Get all orbits, optionally filtered by body type"""
if body_type:
# Join with celestial_bodies to filter by type
query = (
select(Orbit)
.join(CelestialBody, Orbit.body_id == CelestialBody.id)
.where(CelestialBody.type == body_type)
)
else:
query = select(Orbit)
result = await session.execute(query)
return list(result.scalars().all())
@staticmethod
async def get_all_orbits_with_bodies(
session: AsyncSession,
body_type: Optional[str] = None
) -> List[tuple[Orbit, CelestialBody]]:
"""
Get all orbits with their associated celestial bodies in a single query.
This is optimized to avoid N+1 query problem.
Returns:
List of (Orbit, CelestialBody) tuples
"""
if body_type:
query = (
select(Orbit, CelestialBody)
.join(CelestialBody, Orbit.body_id == CelestialBody.id)
.where(CelestialBody.type == body_type)
)
else:
query = (
select(Orbit, CelestialBody)
.join(CelestialBody, Orbit.body_id == CelestialBody.id)
)
result = await session.execute(query)
return list(result.all())
@staticmethod
async def save_orbit(
body_id: str,
points: List[Dict[str, float]],
num_points: int,
period_days: Optional[float],
color: Optional[str],
session: AsyncSession
) -> Orbit:
"""Save or update orbit data using UPSERT"""
stmt = insert(Orbit).values(
body_id=body_id,
points=points,
num_points=num_points,
period_days=period_days,
color=color,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow()
)
# On conflict, update all fields
stmt = stmt.on_conflict_do_update(
index_elements=['body_id'],
set_={
'points': points,
'num_points': num_points,
'period_days': period_days,
'color': color,
'updated_at': datetime.utcnow()
}
)
await session.execute(stmt)
await session.commit()
# Fetch and return the saved orbit
return await OrbitService.get_orbit(body_id, session)
@staticmethod
async def delete_orbit(body_id: str, session: AsyncSession) -> bool:
"""Delete orbit data for a specific body"""
orbit = await OrbitService.get_orbit(body_id, session)
if orbit:
await session.delete(orbit)
await session.commit()
return True
return False
@staticmethod
async def generate_orbit(
body_id: str,
body_name: str,
period_days: float,
color: Optional[str],
session: AsyncSession,
horizons_service: HorizonsService
) -> Orbit:
"""
Generate complete orbital data for a celestial body
Args:
body_id: JPL Horizons ID
body_name: Display name (for logging)
period_days: Orbital period in days
color: Hex color for orbit line
session: Database session
horizons_service: NASA Horizons API service
Returns:
Generated Orbit object
"""
logger.info(f"🌌 Generating orbit for {body_name} (period: {period_days:.1f} days)")
# Calculate number of sample points
# Use at least 100 points for smooth ellipse
# For very long periods, cap at 1000 to avoid excessive data
MIN_POINTS = 100
MAX_POINTS = 1000
if period_days < 3650: # < 10 years
# For planets: aim for ~1 point per day, minimum 100
num_points = max(MIN_POINTS, min(int(period_days), 365))
else: # >= 10 years
# For outer planets and dwarf planets: monthly sampling
num_points = min(int(period_days / 30), MAX_POINTS)
# Calculate step size in days
step_days = max(1, int(period_days / num_points))
logger.info(f" 📊 Sampling {num_points} points (every {step_days} days)")
# Query NASA Horizons for complete orbital period
# NASA Horizons has limited date range (typically 1900-2200)
# For very long periods, we need to limit the query range
MAX_QUERY_YEARS = 250 # Maximum years we can query (1900-2150)
MAX_QUERY_DAYS = MAX_QUERY_YEARS * 365
if period_days > MAX_QUERY_DAYS:
# For extremely long periods (>250 years), sample a partial orbit
# Use enough data to show the orbital shape accurately
actual_query_days = MAX_QUERY_DAYS
start_time = datetime(1900, 1, 1)
end_time = datetime(1900 + MAX_QUERY_YEARS, 1, 1)
logger.warning(f" ⚠️ Period too long ({period_days/365:.1f} years), sampling {MAX_QUERY_YEARS} years only")
logger.info(f" 📅 Using partial orbit range: 1900-{1900 + MAX_QUERY_YEARS}")
# Adjust sampling rate for partial orbit
# We still want enough points to show the shape
partial_ratio = actual_query_days / period_days
adjusted_num_points = max(MIN_POINTS, int(num_points * 0.5)) # At least half the intended points
step_days = max(1, int(actual_query_days / adjusted_num_points))
logger.info(f" 📊 Adjusted sampling: {adjusted_num_points} points (every {step_days} days)")
elif period_days > 150 * 365: # More than 150 years but <= 250 years
# Start from year 1900 for historical data
start_time = datetime(1900, 1, 1)
end_time = start_time + timedelta(days=period_days)
logger.info(f" 📅 Using historical date range (1900-{end_time.year}) for long-period orbit")
else:
start_time = datetime.utcnow()
end_time = start_time + timedelta(days=period_days)
try:
# Get positions from Horizons (synchronous call)
positions = await horizons_service.get_body_positions(
body_id=body_id,
start_time=start_time,
end_time=end_time,
step=f"{step_days}d"
)
if not positions or len(positions) == 0:
raise ValueError(f"No position data returned for {body_name}")
# Convert Position objects to list of dicts
points = [
{"x": pos.x, "y": pos.y, "z": pos.z}
for pos in positions
]
logger.info(f" ✅ Retrieved {len(points)} orbital points")
# Save to database
orbit = await OrbitService.save_orbit(
body_id=body_id,
points=points,
num_points=len(points),
period_days=period_days,
color=color,
session=session
)
logger.info(f" 💾 Saved orbit for {body_name}")
return orbit
except Exception as e:
logger.error(f" ❌ Failed to generate orbit for {body_name}: {e}")
logger.error(f" ❌ Failed to generate orbit for {body_name}: {repr(e)}")
raise
# Singleton instance
orbit_service = OrbitService()

View File

@ -0,0 +1,223 @@
"""
Scheduler Service
Manages APScheduler and dynamic task execution
"""
import logging
import asyncio
from datetime import datetime
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.cron import CronTrigger
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.database import AsyncSessionLocal
from app.models.db.scheduled_job import ScheduledJob, JobType
from app.models.db.task import Task
from app.services.task_service import task_service
from app.jobs.registry import task_registry
# Import predefined tasks to register them
import app.jobs.predefined # noqa: F401
logger = logging.getLogger(__name__)
class SchedulerService:
def __init__(self):
self.scheduler = AsyncIOScheduler()
self.jobs = {}
def start(self):
"""Start the scheduler"""
if not self.scheduler.running:
self.scheduler.start()
logger.info("Scheduler started")
# Load jobs from DB
asyncio.create_task(self.load_jobs())
def shutdown(self):
"""Shutdown the scheduler"""
if self.scheduler.running:
self.scheduler.shutdown()
logger.info("Scheduler stopped")
async def load_jobs(self):
"""Load active jobs from database and schedule them"""
logger.info("Loading scheduled jobs from database...")
async with AsyncSessionLocal() as session:
result = await session.execute(select(ScheduledJob).where(ScheduledJob.is_active == True))
jobs = result.scalars().all()
for job in jobs:
self.add_job_to_scheduler(job)
logger.info(f"Loaded {len(jobs)} scheduled jobs")
def add_job_to_scheduler(self, job: ScheduledJob):
"""Add a single job to APScheduler"""
try:
# Remove existing job if any (to update)
if str(job.id) in self.jobs:
self.scheduler.remove_job(str(job.id))
# Create trigger from cron expression
# Cron format: "minute hour day month day_of_week"
# APScheduler expects kwargs, so we need to parse or use from_crontab if strictly standard
# But CronTrigger.from_crontab is standard.
trigger = CronTrigger.from_crontab(job.cron_expression)
self.scheduler.add_job(
self.execute_job,
trigger,
args=[job.id],
id=str(job.id),
name=job.name,
replace_existing=True
)
self.jobs[str(job.id)] = job
logger.info(f"Scheduled job '{job.name}' (ID: {job.id}) with cron: {job.cron_expression}")
except Exception as e:
logger.error(f"Failed to schedule job '{job.name}': {e}")
async def execute_job(self, job_id: int):
"""
Execute either a predefined task or dynamic python code for a job.
This runs in the scheduler's event loop.
"""
logger.info(f"Executing job ID: {job_id}")
async with AsyncSessionLocal() as session:
# Fetch job details again to get latest configuration
result = await session.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if not job:
logger.error(f"Job {job_id} not found")
return
# Validate job configuration
if job.job_type == JobType.PREDEFINED and not job.predefined_function:
logger.error(f"Job {job_id} is predefined type but has no function name")
return
elif job.job_type == JobType.CUSTOM_CODE and not job.python_code:
logger.error(f"Job {job_id} is custom_code type but has no code")
return
# Create a Task record for this execution history
task_record = await task_service.create_task(
session,
task_type="scheduled_job",
description=f"Scheduled execution of '{job.name}'",
params={"job_id": job.id, "job_type": job.job_type.value},
created_by=None # System
)
# Update Task to running
await task_service.update_task(session, task_record.id, status="running", started_at=datetime.utcnow(), progress=0)
# Update Job last run time
job.last_run_at = datetime.utcnow()
await session.commit()
try:
# Execute based on job type
if job.job_type == JobType.PREDEFINED:
# Execute predefined task from registry
logger.debug(f"Executing predefined task: {job.predefined_function}")
result_val = await task_registry.execute_task(
name=job.predefined_function,
db=session,
logger=logger,
params=job.function_params or {}
)
else:
# Execute custom Python code (legacy support)
logger.debug(f"Executing custom code for job: {job.name}")
# Prepare execution context
# We inject useful services and variables
context = {
"db": session,
"logger": logger,
"task_id": task_record.id,
"asyncio": asyncio,
# Import commonly used services here if needed, or let code import them
}
# Wrap code in an async function to allow await
# Indent code to fit inside the wrapper
indented_code = "\n".join([" " + line for line in job.python_code.split("\n")])
wrapper_code = f"async def _dynamic_func():\n{indented_code}"
# Execute definition
exec(wrapper_code, context)
# Execute the function
_func = context["_dynamic_func"]
result_val = await _func()
# Success
await task_service.update_task(
session,
task_record.id,
status="completed",
progress=100,
completed_at=datetime.utcnow(),
result={"output": str(result_val) if result_val else "Success"}
)
job.last_run_status = "success"
logger.info(f"Job '{job.name}' completed successfully")
except Exception as e:
# Failure
import traceback
error_msg = f"{str(e)}\n{traceback.format_exc()}"
logger.error(f"Job '{job.name}' failed: {e}")
# Rollback the current transaction
await session.rollback()
# Start a new transaction to update task status
try:
await task_service.update_task(
session,
task_record.id,
status="failed",
error_message=error_msg,
completed_at=datetime.utcnow()
)
job.last_run_status = "failed"
# Commit the failed task update in new transaction
await session.commit()
except Exception as update_error:
logger.error(f"Failed to update task status: {update_error}")
await session.rollback()
else:
# Success - commit only if no exception
await session.commit()
async def reload_job(self, job_id: int):
"""Reload a specific job from DB (after update)"""
async with AsyncSessionLocal() as session:
result = await session.execute(select(ScheduledJob).where(ScheduledJob.id == job_id))
job = result.scalar_one_or_none()
if job:
if job.is_active:
self.add_job_to_scheduler(job)
else:
self.remove_job(job_id)
def remove_job(self, job_id: int):
"""Remove job from scheduler"""
if str(job_id) in self.jobs:
if self.scheduler.get_job(str(job_id)):
self.scheduler.remove_job(str(job_id))
del self.jobs[str(job_id)]
logger.info(f"Removed job ID: {job_id}")
async def run_job_now(self, job_id: int):
"""Manually trigger a job immediately"""
return await self.execute_job(job_id)
# Singleton
scheduler_service = SchedulerService()

View File

@ -40,6 +40,30 @@ class TaskService:
return task
async def update_task(
self,
db: AsyncSession,
task_id: int,
**kwargs
):
"""Generic task update"""
stmt = (
update(Task)
.where(Task.id == task_id)
.values(**kwargs)
)
await db.execute(stmt)
await db.commit()
# Update Redis if relevant fields changed
if "status" in kwargs or "progress" in kwargs:
await self._update_redis(
task_id,
kwargs.get("progress", 0),
kwargs.get("status", "running"),
error=kwargs.get("error_message")
)
async def update_progress(
self,
db: AsyncSession,

View File

@ -0,0 +1,15 @@
-- Migration: 添加 nasa_horizons_cron 到 positions 表的 source 约束
-- Date: 2025-12-11
-- 1. 删除旧的约束
ALTER TABLE positions DROP CONSTRAINT IF EXISTS chk_source;
-- 2. 添加新的约束(包含 nasa_horizons_cron
ALTER TABLE positions ADD CONSTRAINT chk_source
CHECK (source IN ('nasa_horizons', 'nasa_horizons_cron', 'calculated', 'user_defined', 'imported'));
-- 3. 验证约束
SELECT conname, pg_get_constraintdef(oid)
FROM pg_constraint
WHERE conrelid = 'positions'::regclass
AND conname = 'chk_source';

View File

@ -0,0 +1,55 @@
-- Migration: Add Predefined Task Support to scheduled_jobs
-- Date: 2025-12-11
-- Purpose: Transition from dynamic code execution to predefined task system
-- 1. Create job_type ENUM type
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'jobtype') THEN
CREATE TYPE jobtype AS ENUM ('predefined', 'custom_code');
END IF;
END $$;
-- 2. Add new columns
ALTER TABLE scheduled_jobs
ADD COLUMN IF NOT EXISTS job_type jobtype DEFAULT 'custom_code',
ADD COLUMN IF NOT EXISTS predefined_function VARCHAR(100),
ADD COLUMN IF NOT EXISTS function_params JSONB DEFAULT '{}'::jsonb;
-- 3. Update existing rows to custom_code type (preserve backward compatibility)
UPDATE scheduled_jobs
SET job_type = 'custom_code'
WHERE job_type IS NULL;
-- 4. Make job_type NOT NULL after setting defaults
ALTER TABLE scheduled_jobs
ALTER COLUMN job_type SET NOT NULL;
-- 5. Set default for job_type to 'predefined' for new records
ALTER TABLE scheduled_jobs
ALTER COLUMN job_type SET DEFAULT 'predefined';
-- 6. Add check constraint
ALTER TABLE scheduled_jobs
ADD CONSTRAINT chk_job_type_fields
CHECK (
(job_type = 'predefined' AND predefined_function IS NOT NULL)
OR
(job_type = 'custom_code' AND python_code IS NOT NULL)
);
-- 7. Add comment on columns
COMMENT ON COLUMN scheduled_jobs.job_type IS 'Job type: predefined or custom_code';
COMMENT ON COLUMN scheduled_jobs.predefined_function IS 'Predefined function name (required if job_type=predefined)';
COMMENT ON COLUMN scheduled_jobs.function_params IS 'JSON parameters for predefined function';
COMMENT ON COLUMN scheduled_jobs.python_code IS 'Dynamic Python code (only for custom_code type)';
-- 8. Verify the changes
SELECT
column_name,
data_type,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position;

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@ -0,0 +1,93 @@
"""
Simple migration to add predefined task columns
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text
from app.database import engine
async def run_simple_migration():
"""Add the new columns to scheduled_jobs table"""
async with engine.begin() as conn:
print("🔄 Adding new columns to scheduled_jobs table...")
# Add job_type column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN job_type jobtype DEFAULT 'custom_code'::jobtype NOT NULL
"""))
print("✅ Added job_type column")
except Exception as e:
print(f"⚠️ job_type column: {e}")
# Add predefined_function column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN predefined_function VARCHAR(100)
"""))
print("✅ Added predefined_function column")
except Exception as e:
print(f"⚠️ predefined_function column: {e}")
# Add function_params column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN function_params JSONB DEFAULT '{}'::jsonb
"""))
print("✅ Added function_params column")
except Exception as e:
print(f"⚠️ function_params column: {e}")
# Set default for future records to 'predefined'
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ALTER COLUMN job_type SET DEFAULT 'predefined'::jobtype
"""))
print("✅ Set default job_type to 'predefined'")
except Exception as e:
print(f"⚠️ Setting default: {e}")
# Add check constraint
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
DROP CONSTRAINT IF EXISTS chk_job_type_fields
"""))
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD CONSTRAINT chk_job_type_fields
CHECK (
(job_type = 'predefined' AND predefined_function IS NOT NULL)
OR
(job_type = 'custom_code' AND python_code IS NOT NULL)
)
"""))
print("✅ Added check constraint")
except Exception as e:
print(f"⚠️ Check constraint: {e}")
print("\n📋 Final table structure:")
result = await conn.execute(text("""
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position
"""))
rows = result.fetchall()
for row in rows:
print(f" - {row[0]}: {row[1]} (nullable: {row[2]})")
if __name__ == "__main__":
asyncio.run(run_simple_migration())

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@ -0,0 +1,80 @@
-- 1. 重建定时任务表 (增加 python_code 支持动态逻辑)
DROP TABLE IF EXISTS "public"."scheduled_jobs" CASCADE;
CREATE TABLE "public"."scheduled_jobs" (
"id" SERIAL PRIMARY KEY,
"name" VARCHAR(100) NOT NULL, -- 任务名称
"cron_expression" VARCHAR(50) NOT NULL, -- CRON表达式
"python_code" TEXT, -- 【核心】可执行的Python业务代码
"is_active" BOOLEAN DEFAULT TRUE, -- 启停状态
"last_run_at" TIMESTAMP, -- 上次执行时间
"last_run_status" VARCHAR(20), -- 上次执行结果
"next_run_at" TIMESTAMP, -- 下次预计执行时间
"description" TEXT, -- 描述
"created_at" TIMESTAMP DEFAULT NOW(),
"updated_at" TIMESTAMP DEFAULT NOW()
);
-- 索引
CREATE INDEX "idx_scheduled_jobs_active" ON "public"."scheduled_jobs" ("is_active");
-- 注释
COMMENT ON TABLE "public"."scheduled_jobs" IS '定时任务调度配置表支持动态Python代码';
COMMENT ON COLUMN "public"."scheduled_jobs"."python_code" IS '直接执行的Python代码体上下文中可使用 db, logger 等变量';
-- 插入默认任务:每日同步位置
INSERT INTO "public"."scheduled_jobs"
("name", "cron_expression", "description", "is_active", "python_code")
VALUES
(
'每日全量位置同步',
'0 0 * * *',
'每天UTC 0点同步所有活跃天体的最新位置数据',
true,
'# 这是一个动态任务示例
# 可用变量: db (AsyncSession), logger (Logger)
from app.services.db_service import celestial_body_service, position_service
from app.services.horizons import horizons_service
from datetime import datetime
logger.info("开始执行每日位置同步...")
# 获取所有活跃天体
bodies = await celestial_body_service.get_all_bodies(db)
active_bodies = [b for b in bodies if b.is_active]
count = 0
now = datetime.utcnow()
for body in active_bodies:
try:
# 获取当天位置
positions = await horizons_service.get_body_positions(
body_id=body.id,
start_time=now,
end_time=now
)
if positions:
# 这里的 save_positions 需要自己实现或确保 db_service 中有对应方法支持 list
# 假设我们循环 save_position 或者 db_service 已有批量接口
# 为简单起见,这里演示循环调用
for p in positions:
await position_service.save_position(
body_id=body.id,
time=p.time,
x=p.x,
y=p.y,
z=p.z,
source="nasa_horizons_cron",
session=db
)
count += 1
except Exception as e:
logger.error(f"同步 {body.name} 失败: {e}")
logger.info(f"同步完成,共更新 {count} 个天体")
# 脚本最后一行表达式的值会被作为 result 存储
f"Synced {count} bodies"
'
);

View File

@ -0,0 +1,64 @@
"""
Check the current state of scheduled_jobs table
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text
from app.database import engine
async def check_table():
"""Check current table structure"""
async with engine.begin() as conn:
# Check if table exists
result = await conn.execute(text("""
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_name = 'scheduled_jobs'
)
"""))
exists = result.scalar()
if not exists:
print("❌ Table 'scheduled_jobs' does not exist yet")
print("💡 You need to run: alembic upgrade head")
return
# Get table structure
result = await conn.execute(text("""
SELECT column_name, data_type, is_nullable, column_default
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position
"""))
rows = result.fetchall()
print("✅ Table 'scheduled_jobs' exists")
print("\n📋 Current table structure:")
for row in rows:
default = row[3] if row[3] else 'NULL'
print(f" - {row[0]}: {row[1]} (nullable: {row[2]}, default: {default})")
# Check for enum type
result = await conn.execute(text("""
SELECT EXISTS (
SELECT FROM pg_type
WHERE typname = 'jobtype'
)
"""))
enum_exists = result.scalar()
if enum_exists:
print("\n✅ ENUM type 'jobtype' exists")
else:
print("\n❌ ENUM type 'jobtype' does NOT exist")
if __name__ == "__main__":
asyncio.run(check_table())

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@ -0,0 +1,119 @@
"""
Fix enum type and add columns
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text
from app.database import engine
async def fix_enum_and_migrate():
"""Fix enum type and add columns"""
async with engine.begin() as conn:
# First check enum values
result = await conn.execute(text("""
SELECT enumlabel
FROM pg_enum
WHERE enumtypid = 'jobtype'::regtype
ORDER BY enumsortorder
"""))
enum_values = [row[0] for row in result.fetchall()]
print(f"Current enum values: {enum_values}")
# Add missing enum values if needed
if 'predefined' not in enum_values:
await conn.execute(text("ALTER TYPE jobtype ADD VALUE 'predefined'"))
print("✅ Added 'predefined' to enum")
if 'custom_code' not in enum_values:
await conn.execute(text("ALTER TYPE jobtype ADD VALUE 'custom_code'"))
print("✅ Added 'custom_code' to enum")
# Now add columns in separate transaction
async with engine.begin() as conn:
print("\n🔄 Adding columns to scheduled_jobs table...")
# Add job_type column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN job_type jobtype DEFAULT 'custom_code'::jobtype NOT NULL
"""))
print("✅ Added job_type column")
except Exception as e:
if "already exists" in str(e):
print(" job_type column already exists")
else:
raise
# Add predefined_function column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN predefined_function VARCHAR(100)
"""))
print("✅ Added predefined_function column")
except Exception as e:
if "already exists" in str(e):
print(" predefined_function column already exists")
else:
raise
# Add function_params column
try:
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD COLUMN function_params JSONB DEFAULT '{}'::jsonb
"""))
print("✅ Added function_params column")
except Exception as e:
if "already exists" in str(e):
print(" function_params column already exists")
else:
raise
# Set defaults and constraints in separate transaction
async with engine.begin() as conn:
# Set default for future records
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ALTER COLUMN job_type SET DEFAULT 'predefined'::jobtype
"""))
print("✅ Set default job_type to 'predefined'")
# Drop and recreate check constraint
await conn.execute(text("""
ALTER TABLE scheduled_jobs
DROP CONSTRAINT IF EXISTS chk_job_type_fields
"""))
await conn.execute(text("""
ALTER TABLE scheduled_jobs
ADD CONSTRAINT chk_job_type_fields
CHECK (
(job_type = 'predefined' AND predefined_function IS NOT NULL)
OR
(job_type = 'custom_code' AND python_code IS NOT NULL)
)
"""))
print("✅ Added check constraint")
print("\n📋 Final table structure:")
result = await conn.execute(text("""
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position
"""))
rows = result.fetchall()
for row in rows:
print(f" - {row[0]}: {row[1]} (nullable: {row[2]})")
if __name__ == "__main__":
asyncio.run(fix_enum_and_migrate())

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@ -0,0 +1,59 @@
"""
Fix positions table CHECK constraint to include 'nasa_horizons_cron'
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text
from app.database import engine
async def fix_constraint():
"""Fix positions table source constraint"""
async with engine.begin() as conn:
print("🔍 Checking current constraint...")
# Check current constraint definition
result = await conn.execute(text("""
SELECT pg_get_constraintdef(oid)
FROM pg_constraint
WHERE conname = 'chk_source' AND conrelid = 'positions'::regclass;
"""))
current = result.fetchone()
if current:
print(f"📋 Current constraint: {current[0]}")
else:
print("⚠️ No constraint found!")
print("\n🔧 Dropping old constraint...")
await conn.execute(text("""
ALTER TABLE positions DROP CONSTRAINT IF EXISTS chk_source;
"""))
print("✅ Old constraint dropped")
print("\n🆕 Creating new constraint with 'nasa_horizons_cron'...")
await conn.execute(text("""
ALTER TABLE positions ADD CONSTRAINT chk_source
CHECK (source IN ('nasa_horizons', 'nasa_horizons_cron', 'calculated', 'user_defined', 'imported'));
"""))
print("✅ New constraint created")
# Verify new constraint
result = await conn.execute(text("""
SELECT pg_get_constraintdef(oid)
FROM pg_constraint
WHERE conname = 'chk_source' AND conrelid = 'positions'::regclass;
"""))
new_constraint = result.fetchone()
if new_constraint:
print(f"\n✅ New constraint: {new_constraint[0]}")
print("\n🎉 Constraint update completed successfully!")
if __name__ == "__main__":
asyncio.run(fix_constraint())

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@ -0,0 +1,51 @@
"""
Run database migration for scheduled_jobs table
"""
import asyncio
import asyncpg
from pathlib import Path
async def run_migration():
"""Run the migration SQL script"""
# Read the migration file
migration_file = Path(__file__).parent.parent / "migrations" / "add_predefined_jobs_support.sql"
with open(migration_file, 'r') as f:
sql = f.read()
# Connect to database
conn = await asyncpg.connect(
user='postgres',
password='cosmo2024',
database='cosmo_db',
host='localhost',
port=5432
)
try:
print("🔄 Running migration: add_predefined_jobs_support.sql")
# Execute the migration
await conn.execute(sql)
print("✅ Migration completed successfully!")
# Verify the changes
result = await conn.fetch("""
SELECT column_name, data_type, is_nullable, column_default
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position
""")
print("\n📋 Current scheduled_jobs table structure:")
for row in result:
print(f" - {row['column_name']}: {row['data_type']} (nullable: {row['is_nullable']})")
finally:
await conn.close()
if __name__ == "__main__":
asyncio.run(run_migration())

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@ -0,0 +1,84 @@
"""
Run database migration for scheduled_jobs table
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text
from app.database import engine
async def run_migration():
"""Run the migration SQL script"""
# Read the migration file
migration_file = Path(__file__).parent.parent / "migrations" / "add_predefined_jobs_support.sql"
with open(migration_file, 'r') as f:
sql_content = f.read()
# Split SQL into individual statements
# Remove comments and split by semicolon
statements = []
current_stmt = []
in_do_block = False
for line in sql_content.split('\n'):
stripped = line.strip()
# Skip comments
if stripped.startswith('--') or not stripped:
continue
# Handle DO blocks specially
if stripped.startswith('DO $$'):
in_do_block = True
current_stmt.append(line)
elif stripped == 'END $$;':
current_stmt.append(line)
statements.append('\n'.join(current_stmt))
current_stmt = []
in_do_block = False
elif in_do_block or not stripped.endswith(';'):
current_stmt.append(line)
else:
# Regular statement ending with ;
current_stmt.append(line)
statements.append('\n'.join(current_stmt))
current_stmt = []
async with engine.begin() as conn:
print("🔄 Running migration: add_predefined_jobs_support.sql")
# Execute each statement separately
for i, stmt in enumerate(statements):
if stmt.strip():
try:
print(f" Executing statement {i+1}/{len(statements)}...")
await conn.execute(text(stmt))
except Exception as e:
# Some statements might fail if already applied, that's okay
print(f" ⚠️ Statement {i+1} warning: {e}")
print("✅ Migration completed successfully!")
# Verify the changes
result = await conn.execute(text("""
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_name = 'scheduled_jobs'
ORDER BY ordinal_position
"""))
rows = result.fetchall()
print("\n📋 Current scheduled_jobs table structure:")
for row in rows:
print(f" - {row[0]}: {row[1]} (nullable: {row[2]})")
if __name__ == "__main__":
asyncio.run(run_migration())

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@ -0,0 +1,87 @@
"""
Update existing job to use predefined task and add new event sync job
"""
import asyncio
import sys
from pathlib import Path
# Add backend to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy import text, update
from app.database import engine
from app.models.db.scheduled_job import ScheduledJob, JobType
async def update_jobs():
"""Update existing job and add new event sync job"""
async with engine.begin() as conn:
print("🔄 Updating scheduled jobs...")
# 1. Update existing job to use predefined task
result = await conn.execute(text("""
UPDATE scheduled_jobs
SET
job_type = 'predefined',
predefined_function = 'sync_solar_system_positions',
function_params = '{"days": 7, "source": "nasa_horizons_cron"}'::jsonb,
description = '每日同步太阳系天体位置数据(使用内置任务)'
WHERE id = 1
RETURNING id, name
"""))
updated = result.fetchone()
if updated:
print(f"✅ Updated job ID {updated[0]}: {updated[1]} -> predefined task")
# 2. Add new celestial events sync job (disabled)
result = await conn.execute(text("""
INSERT INTO scheduled_jobs (
name,
job_type,
predefined_function,
function_params,
cron_expression,
description,
is_active
)
VALUES (
'天体事件同步',
'predefined',
'sync_celestial_events',
'{"days_ahead": 30}'::jsonb,
'0 3 * * *',
'每日凌晨3点同步未来30天的天体事件预留功能暂未实现',
false
)
ON CONFLICT DO NOTHING
RETURNING id, name
"""))
new_job = result.fetchone()
if new_job:
print(f"✅ Added new job ID {new_job[0]}: {new_job[1]} (disabled)")
else:
print(" Event sync job already exists")
# 3. Show all jobs
print("\n📋 Current scheduled jobs:")
result = await conn.execute(text("""
SELECT
id,
name,
job_type,
predefined_function,
is_active,
cron_expression
FROM scheduled_jobs
ORDER BY id
"""))
for row in result.fetchall():
status = "🟢 启用" if row[4] else "🔴 禁用"
job_type_display = "内置任务" if row[2] == 'predefined' else "自定义代码"
print(f" {status} ID {row[0]}: {row[1]}")
print(f" 类型: {job_type_display} | 函数: {row[3]} | CRON: {row[5]}")
if __name__ == "__main__":
asyncio.run(update_jobs())

View File

@ -12,6 +12,7 @@ import { Users } from './pages/admin/Users';
import { NASADownload } from './pages/admin/NASADownload';
import { SystemSettings } from './pages/admin/SystemSettings';
import { Tasks } from './pages/admin/Tasks';
import { ScheduledJobs } from './pages/admin/ScheduledJobs'; // Import ScheduledJobs
import { auth } from './utils/auth';
import { ToastProvider } from './contexts/ToastContext';
import App from './App';
@ -52,6 +53,7 @@ export function Router() {
<Route path="users" element={<Users />} />
<Route path="nasa-data" element={<NASADownload />} />
<Route path="tasks" element={<Tasks />} />
<Route path="scheduled-jobs" element={<ScheduledJobs />} /> {/* Add route */}
<Route path="settings" element={<SystemSettings />} />
</Route>

View File

@ -49,6 +49,9 @@ export function DataTable<T extends object>({
...columns,
];
// Check if an action column already exists in the provided columns
const hasExistingActionColumn = columns.some(col => col.key === 'action');
// Add status column if onStatusChange is provided
if (onStatusChange) {
tableColumns.push({
@ -66,8 +69,9 @@ export function DataTable<T extends object>({
});
}
// Add operations column if onEdit or onDelete is provided
if (onEdit || onDelete || customActions) {
// Add operations column if onEdit or onDelete or customActions is provided
// and if there isn't already an 'action' column explicitly defined by the parent
if (!hasExistingActionColumn && (onEdit || onDelete || customActions)) {
tableColumns.push({
title: '操作',
key: 'action',

View File

@ -341,20 +341,14 @@ export function CelestialBodies() {
setLoading(true);
try {
const response = await request.post(
await request.post(
`/celestial/admin/orbits/generate?body_ids=${record.id}`
);
if (response.data.results && response.data.results.length > 0) {
const result = response.data.results[0];
if (result.status === 'success') {
toast.success(`轨道生成成功!共 ${result.num_points} 个点`);
} else {
toast.error(`轨道生成失败:${result.error}`);
}
}
// 提示用户任务已启动
toast.success('轨道生成任务已启动,请前往"系统任务"查看进度', 5000);
} catch (error: any) {
toast.error(error.response?.data?.detail || '轨道生成失败');
toast.error(error.response?.data?.detail || '轨道生成任务启动失败');
} finally {
setLoading(false);
}
@ -512,7 +506,7 @@ export function CelestialBodies() {
return (
<Popconfirm
title="确认生成轨道"
description={`确定要为 ${record.name_zh || record.name} 生成轨道吗?此操作可能需要一些时间。`}
description={`确定要为 ${record.name_zh || record.name} 生成轨道吗?`}
onConfirm={() => handleGenerateOrbit(record)}
okText="确认"
cancelText="取消"

View File

@ -244,7 +244,7 @@ export function NASADownload() {
body_ids: selectedBodies,
dates: datesToDownload
});
toast.success('后台下载任务已启动,请前往“系统任务”查看进度');
toast.success('批量下载任务已启动,请前往“系统任务”查看进度');
}
} catch (error) {
toast.error('请求失败');

View File

@ -0,0 +1,586 @@
/**
* Scheduled Jobs Management Page
*/
import { useState, useEffect } from 'react';
import { Modal, Form, Input, Switch, Button, Space, Popconfirm, Tag, Tooltip, Badge, Tabs, Select, Row, Col, Card, Alert } from 'antd';
import { PlayCircleOutlined, EditOutlined, DeleteOutlined, QuestionCircleOutlined, InfoCircleOutlined } from '@ant-design/icons';
import type { ColumnsType } from 'antd/es/table';
import { DataTable } from '../../components/admin/DataTable';
import { request } from '../../utils/request';
import { useToast } from '../../contexts/ToastContext';
interface ScheduledJob {
id: number;
name: string;
job_type: 'predefined' | 'custom_code';
predefined_function?: string;
function_params?: Record<string, any>;
cron_expression: string;
python_code?: string;
is_active: boolean;
description: string;
last_run_at: string | null;
last_run_status: 'success' | 'failed' | null;
next_run_at: string | null;
created_at: string;
updated_at: string;
}
interface AvailableTask {
name: string;
description: string;
category: string;
parameters: Array<{
name: string;
type: string;
description: string;
required: boolean;
default: any;
}>;
}
export function ScheduledJobs() {
const [loading, setLoading] = useState(false);
const [data, setData] = useState<ScheduledJob[]>([]);
const [filteredData, setFilteredData] = useState<ScheduledJob[]>([]);
const [isModalOpen, setIsModalOpen] = useState(false);
const [editingRecord, setEditingRecord] = useState<ScheduledJob | null>(null);
const [activeTabKey, setActiveTabKey] = useState('basic');
const [availableTasks, setAvailableTasks] = useState<AvailableTask[]>([]);
const [selectedTask, setSelectedTask] = useState<AvailableTask | null>(null);
const [form] = Form.useForm();
const toast = useToast();
const jobType = Form.useWatch('job_type', form);
const predefinedFunction = Form.useWatch('predefined_function', form);
useEffect(() => {
loadData();
loadAvailableTasks();
}, []);
useEffect(() => {
// When predefined function changes, update selected task
if (predefinedFunction && availableTasks.length > 0) {
const task = availableTasks.find(t => t.name === predefinedFunction);
setSelectedTask(task || null);
// Set default parameter values only if not editing
if (task && !editingRecord) {
const defaultParams: Record<string, any> = {};
task.parameters.forEach(param => {
if (param.default !== null && param.default !== undefined) {
defaultParams[param.name] = param.default;
}
});
form.setFieldsValue({ function_params: defaultParams });
} else if (task && editingRecord) {
// When editing, just set the selected task, don't override params
setSelectedTask(task);
}
} else {
setSelectedTask(null);
}
}, [predefinedFunction, availableTasks]);
const loadData = async () => {
setLoading(true);
try {
const { data: result } = await request.get('/scheduled-jobs');
setData(result || []);
setFilteredData(result || []);
} catch (error) {
toast.error('加载数据失败');
} finally {
setLoading(false);
}
};
const loadAvailableTasks = async () => {
try {
const { data: result } = await request.get('/scheduled-jobs/available-tasks');
setAvailableTasks(result || []);
} catch (error) {
toast.error('加载可用任务列表失败');
}
};
const handleSearch = (keyword: string) => {
const lowerKeyword = keyword.toLowerCase();
const filtered = data.filter(
(item) =>
item.name.toLowerCase().includes(lowerKeyword) ||
item.description?.toLowerCase().includes(lowerKeyword)
);
setFilteredData(filtered);
};
const handleAdd = () => {
setEditingRecord(null);
setSelectedTask(null);
form.resetFields();
form.setFieldsValue({
job_type: 'predefined',
is_active: true,
function_params: {}
});
setActiveTabKey('basic');
setIsModalOpen(true);
};
const handleEdit = (record: ScheduledJob) => {
setEditingRecord(record);
form.setFieldsValue({
...record,
function_params: record.function_params || {}
});
setActiveTabKey('basic');
setIsModalOpen(true);
};
const handleDelete = async (record: ScheduledJob) => {
try {
await request.delete(`/scheduled-jobs/${record.id}`);
toast.success('删除成功');
loadData();
} catch (error) {
toast.error('删除失败');
}
};
const handleRunNow = async (record: ScheduledJob) => {
try {
await request.post(`/scheduled-jobs/${record.id}/run`);
toast.success('定时任务已触发,请前往"系统任务"中查看进度');
setTimeout(loadData, 1000);
} catch (error) {
toast.error('触发失败');
}
};
const handleModalOk = async () => {
try {
const values = await form.validateFields();
// Clean up data based on job_type
if (values.job_type === 'predefined') {
delete values.python_code;
} else {
delete values.predefined_function;
delete values.function_params;
}
if (editingRecord) {
await request.put(`/scheduled-jobs/${editingRecord.id}`, values);
toast.success('更新成功');
} else {
await request.post('/scheduled-jobs', values);
toast.success('创建成功');
}
setIsModalOpen(false);
loadData();
} catch (error: any) {
if (error.response?.data?.detail) {
const detail = error.response.data.detail;
if (typeof detail === 'object' && detail.message) {
toast.error(detail.message);
} else {
toast.error(detail);
}
}
}
};
const columns: ColumnsType<ScheduledJob> = [
{
title: 'ID',
dataIndex: 'id',
width: 60,
},
{
title: '任务名称',
dataIndex: 'name',
width: 200,
render: (text, record) => (
<div>
<div style={{ fontWeight: 500 }}>{text}</div>
{record.description && (
<div style={{ fontSize: 12, color: '#888' }}>{record.description}</div>
)}
</div>
),
},
{
title: '类型',
dataIndex: 'job_type',
width: 120,
render: (type) => (
<Tag color={type === 'predefined' ? 'blue' : 'purple'}>
{type === 'predefined' ? '内置任务' : '自定义代码'}
</Tag>
),
},
{
title: '任务函数',
dataIndex: 'predefined_function',
width: 200,
render: (func, record) => {
if (record.job_type === 'predefined') {
return <Tag color="cyan">{func}</Tag>;
}
return <span style={{ color: '#ccc' }}>-</span>;
},
},
{
title: 'Cron 表达式',
dataIndex: 'cron_expression',
width: 130,
render: (text) => <Tag color="green">{text}</Tag>,
},
{
title: '状态',
dataIndex: 'is_active',
width: 80,
render: (active) => (
<Badge status={active ? 'success' : 'default'} text={active ? '启用' : '禁用'} />
),
},
{
title: '上次执行',
width: 200,
render: (_, record) => (
<div>
{record.last_run_at ? (
<>
<div>{new Date(record.last_run_at).toLocaleString()}</div>
<Tag color={record.last_run_status === 'success' ? 'green' : 'red'}>
{record.last_run_status === 'success' ? '成功' : '失败'}
</Tag>
</>
) : (
<span style={{ color: '#ccc' }}></span>
)}
</div>
),
},
{
title: '操作',
key: 'action',
width: 150,
render: (_, record) => (
<Space size="small">
<Tooltip title="立即执行">
<Button
type="text"
icon={<PlayCircleOutlined />}
onClick={() => handleRunNow(record)}
style={{ color: '#52c41a' }}
/>
</Tooltip>
<Tooltip title="编辑">
<Button
type="text"
icon={<EditOutlined />}
onClick={() => handleEdit(record)}
style={{ color: '#1890ff' }}
/>
</Tooltip>
<Popconfirm
title="确认删除该任务?"
onConfirm={() => handleDelete(record)}
okText="删除"
cancelText="取消"
>
<Tooltip title="删除">
<Button type="text" danger icon={<DeleteOutlined />} />
</Tooltip>
</Popconfirm>
</Space>
),
},
];
return (
<>
<DataTable
title="定时任务管理"
columns={columns}
dataSource={filteredData}
loading={loading}
total={filteredData.length}
onSearch={handleSearch}
onAdd={handleAdd}
onEdit={handleEdit}
onDelete={handleDelete}
rowKey="id"
pageSize={10}
/>
<Modal
title={editingRecord ? '编辑任务' : '新增任务'}
open={isModalOpen}
onOk={handleModalOk}
onCancel={() => setIsModalOpen(false)}
width={900}
destroyOnClose
>
<Form
form={form}
layout="vertical"
>
<Tabs activeKey={activeTabKey} onChange={setActiveTabKey}>
{/* 基础配置 Tab */}
<Tabs.TabPane tab="基础配置" key="basic">
<Row gutter={16}>
<Col span={12}>
<Form.Item
name="name"
label="任务名称"
rules={[{ required: true, message: '请输入任务名称' }]}
>
<Input placeholder="例如:每日数据同步" />
</Form.Item>
</Col>
<Col span={12}>
<Form.Item
name="job_type"
label="任务类型"
rules={[{ required: true, message: '请选择任务类型' }]}
>
<Select
options={[
{ label: '内置任务', value: 'predefined' },
{ label: '自定义代码', value: 'custom_code' }
]}
onChange={() => {
// Clear related fields when type changes
form.setFieldsValue({
predefined_function: undefined,
function_params: {},
python_code: undefined
});
setSelectedTask(null);
}}
/>
</Form.Item>
</Col>
</Row>
<Row gutter={16}>
<Col span={12}>
<Form.Item
name="cron_expression"
label={
<Space>
<span>Cron </span>
<Tooltip title="格式:分 时 日 月 周 (例如: 0 0 * * * 表示每天零点)">
<QuestionCircleOutlined style={{ color: '#888' }} />
</Tooltip>
</Space>
}
rules={[{ required: true, message: '请输入 Cron 表达式' }]}
>
<Input placeholder="0 0 * * *" style={{ fontFamily: 'monospace' }} />
</Form.Item>
</Col>
<Col span={12}>
<Form.Item
name="is_active"
label="是否启用"
valuePropName="checked"
>
<Switch checkedChildren="启用" unCheckedChildren="禁用" />
</Form.Item>
</Col>
</Row>
<Form.Item
name="description"
label="描述"
>
<Input.TextArea rows={3} placeholder="任务描述" />
</Form.Item>
{/* 内置任务配置 */}
{jobType === 'predefined' && (
<>
<Form.Item
name="predefined_function"
label="选择预定义任务"
rules={[{ required: true, message: '请选择预定义任务' }]}
>
<Select
placeholder="请选择任务"
options={availableTasks.map(task => ({
label: `${task.name} - ${task.description}`,
value: task.name
}))}
/>
</Form.Item>
{selectedTask && (
<Card
size="small"
title={
<Space>
<InfoCircleOutlined />
<span></span>
</Space>
}
style={{ marginBottom: 16 }}
>
<Alert
message={selectedTask.description}
type="info"
showIcon
style={{ marginBottom: 16 }}
/>
{selectedTask.parameters.map(param => (
<Form.Item
key={param.name}
name={['function_params', param.name]}
label={
<Space>
<span>{param.name}</span>
{!param.required && <Tag color="orange"></Tag>}
</Space>
}
tooltip={param.description}
rules={[
{ required: param.required, message: `请输入${param.name}` }
]}
>
{param.type === 'integer' ? (
<Input type="number" placeholder={`默认: ${param.default}`} />
) : param.type === 'boolean' ? (
<Switch />
) : param.type === 'array' ? (
<Select mode="tags" placeholder="输入后回车添加" />
) : (
<Input placeholder={`默认: ${param.default || '无'}`} />
)}
</Form.Item>
))}
</Card>
)}
</>
)}
</Tabs.TabPane>
{/* Python 代码 Tab - 仅在自定义代码模式下显示 */}
{jobType === 'custom_code' && (
<Tabs.TabPane tab="Python 代码" key="code">
<Alert
message="自定义代码执行环境"
description={
<div>
<p></p>
<ul style={{ marginBottom: 0 }}>
<li><code>db</code>: AsyncSession - </li>
<li><code>logger</code>: Logger - </li>
<li><code>task_id</code>: int - ID</li>
<li><code>asyncio</code>: IO</li>
</ul>
<p style={{ marginTop: 8, marginBottom: 0 }}>
使 <code>await</code>
</p>
</div>
}
type="info"
showIcon
style={{ marginBottom: 16 }}
/>
<Form.Item
name="python_code"
rules={[{ required: jobType === 'custom_code', message: '请输入执行脚本' }]}
>
<CodeEditor
placeholder={`# 动态任务脚本示例
# : db (AsyncSession), logger (Logger), task_id (int)
# 使 await
from datetime import datetime
logger.info(f"任务开始执行: {datetime.now()}")
# ...
return "执行成功"`}
/>
</Form.Item>
</Tabs.TabPane>
)}
</Tabs>
</Form>
</Modal>
</>
);
}
// Simple Code Editor with Line Numbers
const CodeEditor = ({
value = '',
onChange,
placeholder = ''
}: {
value?: string;
onChange?: (e: any) => void;
placeholder?: string;
}) => {
const displayValue = value || placeholder;
const lineCount = displayValue.split('\n').length;
const lineNumbers = Array.from({ length: lineCount }, (_, i) => i + 1).join('\n');
return (
<div style={{
display: 'flex',
border: '1px solid #d9d9d9',
borderRadius: 6,
overflow: 'hidden',
backgroundColor: '#fafafa'
}}>
<div
style={{
padding: '4px 8px',
backgroundColor: '#f0f0f0',
borderRight: '1px solid #d9d9d9',
color: '#999',
textAlign: 'right',
fontFamily: 'monospace',
lineHeight: '1.5',
fontSize: '14px',
userSelect: 'none',
whiteSpace: 'pre',
overflow: 'hidden'
}}
>
{lineNumbers}
</div>
<Input.TextArea
value={value}
onChange={onChange}
placeholder={placeholder}
style={{
border: 'none',
borderRadius: 0,
resize: 'none',
fontFamily: 'monospace',
lineHeight: '1.5',
fontSize: '14px',
padding: '4px 8px',
flex: 1,
backgroundColor: '#fafafa',
color: value ? '#333' : '#999'
}}
rows={20}
spellCheck={false}
wrap="off"
/>
</div>
);
};

View File

@ -1,9 +1,6 @@
/**
* System Settings Management Page
*/
import { useState, useEffect } from 'react';
import { Modal, Form, Input, InputNumber, Switch, Select, Button, Card, Descriptions, Badge, Space, Popconfirm, Alert, Divider } from 'antd';
import { ReloadOutlined, ClearOutlined, WarningOutlined } from '@ant-design/icons';
import { ReloadOutlined, ClearOutlined, WarningOutlined, SyncOutlined } from '@ant-design/icons';
import type { ColumnsType } from 'antd/es/table';
import { DataTable } from '../../components/admin/DataTable';
import { request } from '../../utils/request';
@ -39,6 +36,7 @@ export function SystemSettings() {
const [editingRecord, setEditingRecord] = useState<SystemSetting | null>(null);
const [form] = Form.useForm();
const [clearingCache, setClearingCache] = useState(false);
const [reloading, setReloading] = useState(false);
const toast = useToast();
useEffect(() => {
@ -148,6 +146,19 @@ export function SystemSettings() {
}
};
// Reload system settings
const handleReloadSettings = async () => {
setReloading(true);
try {
const { data } = await request.post('/system/settings/reload');
toast.success(data.message);
} catch (error) {
toast.error('重载配置失败');
} finally {
setReloading(false);
}
};
const columns: ColumnsType<SystemSetting> = [
{
title: '参数键',
@ -233,24 +244,23 @@ export function SystemSettings() {
title={
<Space>
<ClearOutlined />
<span></span>
<span></span>
</Space>
}
style={{ marginBottom: 16 }}
styles={{ body: { padding: 16 } }}
>
<Alert
title="清除缓存会清空所有内存缓存和 Redis 缓存,包括:"
title="系统维护操作说明"
description={
<div>
<ul style={{ marginBottom: 0, paddingLeft: 20 }}>
<li>* </li>
<li>* NASA API </li>
<li>* </li>
<li><strong></strong> Redis </li>
<li><strong></strong>使</li>
</ul>
</div>
}
type="warning"
type="info"
showIcon
style={{ marginBottom: 16 }}
/>
@ -258,7 +268,7 @@ export function SystemSettings() {
<Space>
<Popconfirm
title="确认清除所有缓存?"
description="此操作会清空所有缓存数据,下次查询可能会较慢"
description="此操作会清空所有缓存数据"
onConfirm={handleClearCache}
okText="确认清除"
cancelText="取消"
@ -273,6 +283,15 @@ export function SystemSettings() {
</Button>
</Popconfirm>
<Button
type="default"
icon={<SyncOutlined />}
onClick={handleReloadSettings}
loading={reloading}
>
</Button>
</Space>
</Card>
@ -364,6 +383,16 @@ export function SystemSettings() {
<InputNumber style={{ width: '100%' }} step={valueType === 'float' ? 0.1 : 1} />
</Form.Item>
);
} else if (valueType === 'json') {
return (
<Form.Item
name="value"
label="参数值"
rules={[{ required: true, message: '请输入参数值' }]}
>
<Input.TextArea rows={3} placeholder="JSON 格式数据" />
</Form.Item>
);
} else {
return (
<Form.Item
@ -371,7 +400,7 @@ export function SystemSettings() {
label="参数值"
rules={[{ required: true, message: '请输入参数值' }]}
>
<Input.TextArea rows={3} placeholder={valueType === 'json' ? 'JSON 格式数据' : '参数值'} />
<Input placeholder="参数值" />
</Form.Item>
);
}

View File

@ -1,5 +1,5 @@
import { useState, useEffect, useRef } from 'react';
import { Tag, Progress, Button, Modal, Descriptions, Badge, Typography } from 'antd';
import { Tag, Progress, Button, Modal, Descriptions, Badge, Typography, Space } from 'antd';
import { ReloadOutlined, EyeOutlined } from '@ant-design/icons';
import type { ColumnsType } from 'antd/es/table';
import { DataTable } from '../../components/admin/DataTable';
@ -127,10 +127,6 @@ export function Tasks() {
return (
<div className="p-0">
<div className="mb-4 flex justify-end">
<Button icon={<ReloadOutlined />} onClick={loadData}></Button>
</div>
<DataTable
title="系统任务列表"
columns={columns}

View File

@ -20,7 +20,7 @@ export const API_BASE_URL = getBaseUrl();
// Create axios instance
export const request = axios.create({
baseURL: API_BASE_URL,
timeout: 30000,
timeout: 60000, // Increased timeout to 3 minutes for long-running tasks like orbit generation
headers: {
'Content-Type': 'application/json',
},

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