产业用户对期货套保系统的移动端访问需求日益增长,夜盘监控、紧急下单、审批流程等场景需要随时随地的操作能力。移动端应用面临网络不稳定、屏幕尺寸受限、安全性要求高等技术挑战。本文从移动端工程实践出发,解析期货套保系统移动端操作的架构设计、离线处理与安全机制。
一、移动端架构设计与接口适配
移动端架构需兼顾性能、可用性与开发效率:
python
from dataclasses import dataclass, field
from typing import Dict, List, Any, Optional
from enum import Enum
from datetime import datetime
import json
class Platform(Enum):
IOS = "iOS"
ANDROID = "Android"
WEB = "Web"
class NetworkStatus(Enum):
ONLINE = "在线"
OFFLINE = "离线"
WEAK = "弱网"
@dataclass
class DeviceContext:
"""设备上下文"""
device_id: str
platform: Platform
app_version: str
os_version: str
network_status: NetworkStatus
screen_width: int
screen_height: int
@dataclass
class APIResponse:
"""移动端API响应"""
success: bool
data: Optional[Dict] = None
error_code: Optional[str] = None
error_message: Optional[str] = None
timestamp: str = field(default_factory=lambda: datetime.now().isoformat())
cache_ttl: int = 0 # 缓存有效期(秒)
def to_json(self) -> str:
return json.dumps({
"success": self.success,
"data": self.data,
"error": {
"code": self.error_code,
"message": self.error_message
} if self.error_code else None,
"timestamp": self.timestamp,
"cache_ttl": self.cache_ttl
}, ensure_ascii=False)
class MobileAPIAdapter:
"""移动端API适配器"""
def __init__(self):
self.response_compressors: Dict[str, callable] = {}
def adapt_response(
self,
data: Dict,
device: DeviceContext,
api_name: str
) -> APIResponse:
"""适配响应数据"""
# 根据网络状态调整
if device.network_status == NetworkStatus.WEAK:
data = self._compress_data(data, api_name)
cache_ttl = 300 # 弱网增加缓存时间
elif device.network_status == NetworkStatus.OFFLINE:
cache_ttl = 3600
else:
cache_ttl = 60
# 根据屏幕尺寸调整
if device.screen_width < 400:
data = self._simplify_for_small_screen(data)
return APIResponse(
success=True,
data=data,
cache_ttl=cache_ttl
)
def _compress_data(self, data: Dict, api_name: str) -> Dict:
"""压缩数据(移除非必要字段)"""
compressor = self.response_compressors.get(api_name)
if compressor:
return compressor(data)
return data
def _simplify_for_small_screen(self, data: Dict) -> Dict:
"""小屏幕数据简化"""
# 移除详细描述等长文本字段
if isinstance(data, dict):
keys_to_remove = ['description', 'remarks', 'detail_list']
return {k: v for k, v in data.items() if k not in keys_to_remove}
return data
class MobilePositionAPI:
"""移动端持仓API"""
def __init__(self, adapter: MobileAPIAdapter):
self.adapter = adapter
def get_positions(self, device: DeviceContext) -> APIResponse:
"""获取持仓列表"""
# 模拟持仓数据
positions = [
{
"instrument": "rb2603",
"direction": "多",
"volume": 100,
"avg_price": 3850.0,
"last_price": 3880.0,
"pnl": 30000.0,
"pnl_ratio": 0.78,
"margin": 385000.0
},
{
"instrument": "hc2603",
"direction": "空",
"volume": 50,
"avg_price": 3920.0,
"last_price": 3900.0,
"pnl": 10000.0,
"pnl_ratio": 0.51,
"margin": 196000.0
}
]
# 移动端精简版
mobile_positions = []
for pos in positions:
mobile_pos = {
"inst": pos["instrument"],
"dir": pos["direction"],
"vol": pos["volume"],
"pnl": pos["pnl"],
"ratio": f"{pos['pnl_ratio']:.2f}%"
}
mobile_positions.append(mobile_pos)
return self.adapter.adapt_response(
{"positions": mobile_positions, "count": len(mobile_positions)},
device,
"get_positions"
)
# 使用示例
adapter = MobileAPIAdapter()
position_api = MobilePositionAPI(adapter)
device = DeviceContext(
device_id="DEV001",
platform=Platform.IOS,
app_version="2.1.0",
os_version="iOS 17.0",
network_status=NetworkStatus.ONLINE,
screen_width=390,
screen_height=844
)
response = position_api.get_positions(device)
print("=== 移动端持仓API响应 ===")
print(response.to_json())
API适配层根据设备特性动态调整响应格式与缓存策略。
二、离线操作与数据同步机制
移动端需支持离线场景下的基本操作与后续同步:
python
from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional
from datetime import datetime
from enum import Enum
import uuid
import json
class SyncStatus(Enum):
PENDING = "待同步"
SYNCING = "同步中"
SUCCESS = "成功"
FAILED = "失败"
CONFLICT = "冲突"
@dataclass
class OfflineOperation:
"""离线操作记录"""
operation_id: str
operation_type: str
payload: Dict[str, Any]
created_at: datetime
sync_status: SyncStatus = SyncStatus.PENDING
sync_attempts: int = 0
last_sync_at: Optional[datetime] = None
error_message: Optional[str] = None
class OfflineStorage:
"""离线存储管理"""
def __init__(self):
self.operations: List[OfflineOperation] = []
self.cached_data: Dict[str, Dict] = {}
self.cache_timestamps: Dict[str, datetime] = {}
def save_operation(self, op_type: str, payload: Dict) -> str:
"""保存离线操作"""
op_id = str(uuid.uuid4())[:8]
operation = OfflineOperation(
operation_id=op_id,
operation_type=op_type,
payload=payload,
created_at=datetime.now()
)
self.operations.append(operation)
return op_id
def get_pending_operations(self) -> List[OfflineOperation]:
"""获取待同步操作"""
return [op for op in self.operations if op.sync_status == SyncStatus.PENDING]
def cache_data(self, key: str, data: Dict, ttl_seconds: int = 300):
"""缓存数据"""
self.cached_data[key] = data
self.cache_timestamps[key] = datetime.now()
def get_cached_data(self, key: str, max_age_seconds: int = 300) -> Optional[Dict]:
"""获取缓存数据"""
if key not in self.cached_data:
return None
cached_time = self.cache_timestamps.get(key)
if cached_time:
age = (datetime.now() - cached_time).total_seconds()
if age > max_age_seconds:
return None
return self.cached_data.get(key)
class SyncManager:
"""同步管理器"""
def __init__(self, storage: OfflineStorage):
self.storage = storage
self.sync_handlers: Dict[str, callable] = {}
def register_handler(self, op_type: str, handler: callable):
"""注册同步处理器"""
self.sync_handlers[op_type] = handler
def sync_all(self) -> Dict[str, int]:
"""同步所有待处理操作"""
pending = self.storage.get_pending_operations()
results = {"success": 0, "failed": 0, "conflict": 0}
for op in pending:
op.sync_status = SyncStatus.SYNCING
op.sync_attempts += 1
op.last_sync_at = datetime.now()
handler = self.sync_handlers.get(op.operation_type)
if not handler:
op.sync_status = SyncStatus.FAILED
op.error_message = f"未知操作类型: {op.operation_type}"
results["failed"] += 1
continue
try:
result = handler(op.payload)
if result.get("success"):
op.sync_status = SyncStatus.SUCCESS
results["success"] += 1
elif result.get("conflict"):
op.sync_status = SyncStatus.CONFLICT
results["conflict"] += 1
else:
op.sync_status = SyncStatus.FAILED
op.error_message = result.get("error")
results["failed"] += 1
except Exception as e:
op.sync_status = SyncStatus.FAILED
op.error_message = str(e)
results["failed"] += 1
return results
# 使用示例
storage = OfflineStorage()
sync_mgr = SyncManager(storage)
# 注册同步处理器
def sync_order(payload: Dict) -> Dict:
"""模拟订单同步"""
print(f"同步订单: {payload}")
return {"success": True, "order_id": "ORD001"}
sync_mgr.register_handler("create_order", sync_order)
# 离线创建订单
op_id = storage.save_operation("create_order", {
"instrument": "rb2603",
"direction": "buy",
"volume": 10,
"price": 3850
})
print(f"\n离线操作已保存: {op_id}")
# 网络恢复后同步
print("\n=== 执行同步 ===")
results = sync_mgr.sync_all()
print(f"同步结果: {results}")
离线存储与增量同步机制保障弱网环境下的操作连续性。
三、移动端安全机制
移动端面临更多安全威胁,需要多层次的安全防护:
python
from dataclasses import dataclass
from typing import Optional, Dict
from datetime import datetime, timedelta
import hashlib
import secrets
import base64
@dataclass
class SecurityConfig:
"""安全配置"""
session_timeout_minutes: int = 30
max_login_attempts: int = 5
lockout_duration_minutes: int = 15
require_biometric: bool = True
certificate_pinning: bool = True
@dataclass
class DeviceBinding:
"""设备绑定信息"""
device_id: str
user_id: str
device_fingerprint: str
bound_at: datetime
is_active: bool = True
class MobileSecurityManager:
"""移动端安全管理器"""
def __init__(self, config: SecurityConfig):
self.config = config
self.sessions: Dict[str, Dict] = {}
self.login_attempts: Dict[str, int] = {}
self.lockouts: Dict[str, datetime] = {}
self.device_bindings: Dict[str, DeviceBinding] = {}
def generate_device_fingerprint(self, device_info: Dict) -> str:
"""生成设备指纹"""
fingerprint_data = f"{device_info.get('device_id', '')}" \
f"{device_info.get('os_version', '')}" \
f"{device_info.get('app_version', '')}"
return hashlib.sha256(fingerprint_data.encode()).hexdigest()[:32]
def bind_device(self, user_id: str, device_info: Dict) -> DeviceBinding:
"""绑定设备"""
fingerprint = self.generate_device_fingerprint(device_info)
binding = DeviceBinding(
device_id=device_info.get('device_id', ''),
user_id=user_id,
device_fingerprint=fingerprint,
bound_at=datetime.now()
)
self.device_bindings[f"{user_id}_{binding.device_id}"] = binding
return binding
def verify_device(self, user_id: str, device_info: Dict) -> bool:
"""验证设备"""
key = f"{user_id}_{device_info.get('device_id', '')}"
binding = self.device_bindings.get(key)
if not binding or not binding.is_active:
return False
current_fingerprint = self.generate_device_fingerprint(device_info)
return binding.device_fingerprint == current_fingerprint
def check_lockout(self, user_id: str) -> tuple[bool, Optional[int]]:
"""检查账户锁定状态"""
lockout_time = self.lockouts.get(user_id)
if not lockout_time:
return False, None
remaining = (lockout_time - datetime.now()).total_seconds()
if remaining > 0:
return True, int(remaining)
# 锁定已过期
del self.lockouts[user_id]
self.login_attempts[user_id] = 0
return False, None
def record_login_attempt(self, user_id: str, success: bool):
"""记录登录尝试"""
if success:
self.login_attempts[user_id] = 0
return
attempts = self.login_attempts.get(user_id, 0) + 1
self.login_attempts[user_id] = attempts
if attempts >= self.config.max_login_attempts:
self.lockouts[user_id] = datetime.now() + timedelta(
minutes=self.config.lockout_duration_minutes
)
def create_session(self, user_id: str, device_id: str) -> str:
"""创建会话"""
session_token = secrets.token_urlsafe(32)
self.sessions[session_token] = {
"user_id": user_id,
"device_id": device_id,
"created_at": datetime.now(),
"last_activity": datetime.now()
}
return session_token
def validate_session(self, token: str) -> tuple[bool, Optional[str]]:
"""验证会话"""
session = self.sessions.get(token)
if not session:
return False, "会话不存在"
# 检查超时
timeout = timedelta(minutes=self.config.session_timeout_minutes)
if datetime.now() - session["last_activity"] > timeout:
del self.sessions[token]
return False, "会话已过期"
# 更新活动时间
session["last_activity"] = datetime.now()
return True, session["user_id"]
# 使用示例
config = SecurityConfig(
session_timeout_minutes=30,
max_login_attempts=5,
require_biometric=True
)
security = MobileSecurityManager(config)
device_info = {
"device_id": "DEV001",
"os_version": "iOS 17.0",
"app_version": "2.1.0"
}
# 设备绑定
binding = security.bind_device("u001", device_info)
print(f"=== 设备绑定 ===")
print(f"设备指纹: {binding.device_fingerprint}")
# 设备验证
is_valid = security.verify_device("u001", device_info)
print(f"设备验证: {is_valid}")
# 创建会话
token = security.create_session("u001", "DEV001")
print(f"\n会话Token: {token[:20]}...")
# 验证会话
valid, user_id = security.validate_session(token)
print(f"会话验证: {valid}, 用户: {user_id}")
设备绑定、会话管理与登录保护构成移动端安全防线。
四、推送通知与实时消息
移动端需要及时接收行情预警与业务通知:
python
from dataclasses import dataclass
from typing import List, Dict, Any, Optional
from datetime import datetime
from enum import Enum
class NotificationType(Enum):
PRICE_ALERT = "价格预警"
ORDER_FILLED = "委托成交"
MARGIN_CALL = "追保通知"
APPROVAL_REQUEST = "审批请求"
SYSTEM_NOTICE = "系统通知"
class NotificationPriority(Enum):
LOW = 1
NORMAL = 2
HIGH = 3
URGENT = 4
@dataclass
class PushNotification:
"""推送通知"""
notification_id: str
notification_type: NotificationType
priority: NotificationPriority
title: str
body: str
data: Dict[str, Any]
created_at: datetime
target_users: List[str]
def to_apns_payload(self) -> Dict:
"""转换为APNS格式"""
return {
"aps": {
"alert": {
"title": self.title,
"body": self.body
},
"sound": "default" if self.priority.value >= 3 else None,
"badge": 1
},
"data": self.data
}
def to_fcm_payload(self) -> Dict:
"""转换为FCM格式"""
return {
"notification": {
"title": self.title,
"body": self.body
},
"data": self.data,
"android": {
"priority": "high" if self.priority.value >= 3 else "normal"
}
}
class NotificationService:
"""通知服务"""
def __init__(self):
self.pending_notifications: List[PushNotification] = []
self.user_preferences: Dict[str, Dict] = {}
def set_user_preferences(self, user_id: str, prefs: Dict):
"""设置用户通知偏好"""
self.user_preferences[user_id] = prefs
def should_notify(self, user_id: str, notification: PushNotification) -> bool:
"""检查是否应该发送通知"""
prefs = self.user_preferences.get(user_id, {})
# 紧急通知始终发送
if notification.priority == NotificationPriority.URGENT:
return True
# 检查类型偏好
type_key = notification.notification_type.name.lower()
if not prefs.get(f"enable_{type_key}", True):
return False
# 检查免打扰时段
quiet_hours = prefs.get("quiet_hours", {})
if quiet_hours.get("enabled"):
current_hour = datetime.now().hour
start = quiet_hours.get("start", 22)
end = quiet_hours.get("end", 8)
if start <= current_hour or current_hour < end:
return notification.priority.value >= 3
return True
def send_notification(self, notification: PushNotification) -> Dict[str, bool]:
"""发送通知"""
results = {}
for user_id in notification.target_users:
if self.should_notify(user_id, notification):
# 模拟发送
print(f"发送通知给 {user_id}: {notification.title}")
results[user_id] = True
else:
results[user_id] = False
return results
# 使用示例
service = NotificationService()
# 设置用户偏好
service.set_user_preferences("u001", {
"enable_price_alert": True,
"enable_order_filled": True,
"quiet_hours": {
"enabled": True,
"start": 22,
"end": 8
}
})
# 创建价格预警通知
notification = PushNotification(
notification_id="N001",
notification_type=NotificationType.PRICE_ALERT,
priority=NotificationPriority.HIGH,
title="螺纹钢价格预警",
body="rb2603 价格突破3900,当前3905",
data={
"instrument": "rb2603",
"price": 3905,
"alert_type": "price_break"
},
created_at=datetime.now(),
target_users=["u001", "u002"]
)
print("\n=== 推送通知 ===")
results = service.send_notification(notification)
print(f"发送结果: {results}")
print("\nAPNS Payload:")
print(notification.to_apns_payload())
推送通知系统支持用户偏好配置与多平台格式适配。
总结
期货套保系统的移动端操作需建立适配层根据设备特性动态调整响应,通过离线存储与增量同步保障弱网环境下的操作连续性,借助设备绑定、会话管理等多层安全机制保护用户数据,并以推送通知系统实现业务消息的及时触达。完善的移动端技术架构使产业用户能够随时随地进行套保业务操作。