Files
company-ai-platform/app/modules/observability/service.py
JiuContinent db751f03b4 ```
refactor(Dockerfile): 使用requirements.txt替代硬编码依赖

将Dockerfile中的硬编码pip包列表替换为通过requirements.txt文件安装,
提高依赖管理的灵活性和可维护性。

feat(scheduling): 移除内置APScheduler,采用独立调度系统

移除app/core/background/scheduler.py中原来的APScheduler实现,
改为使用新的应用级调度系统app.application.scheduling。

refactor(task_queue): 调整任务队列模块结构和导入路径

将任务队列相关常量从app.core.background.task_queue.constants迁移至
app.tasks.constants,并更新所有相关导入路径和引用。

refactor(events): 将事件服务重构为独立的应用层组件

将事件分发逻辑从核心层迁移到应用层,使用app.application.events.EventDispatchService
替代原有的app.modules.events.services.EventService。

feat(ai_memory): 增强AI记忆自动写入的安全策略

新增ai_memory_blocked_content_terms配置项用于阻止敏感内容,
添加TTL过期机制控制自动写入条目的生命周期。

fix(security): 强化生产环境安全验证机制

增加model_validator确保生产环境中数据库连接、API密钥、CORS设置等
关键安全配置符合要求。

feat(risks): 优化风险事件操作动作的外键约束

为RiskEventAction模型的风险事件ID字段添加外键约束,
防止孤立记录并增强数据完整性。

refactor(audit): 优化审计服务方法命名和事务处理

将AuditService的log方法重命名为record以反映其阶段行为,
并调整事务提交时机以提高性能。

feat(events): 增强领域事件并发处理和响应模型

添加事件锁定机制防止重复处理,更新API响应模型以提供
更准确的数据类型定义。
```
2026-07-15 16:36:42 +08:00

212 lines
7.9 KiB
Python

from datetime import timedelta
from typing import Any
from sqlalchemy import select, text
from sqlalchemy.orm import Session
from app.core.config import get_settings
from app.core.constants import ActorValue
from app.core.utils.time import utc_now
from app.modules.ai_memory.service import AIMemoryService
from app.modules.audit.constants import (
AuditAction,
AuditRiskLevel,
AuditSource,
AuditTargetType,
)
from app.modules.audit.schemas import AuditLogCreate
from app.modules.audit.service import AuditService
from app.modules.events.constants import EventStatus
from app.modules.events.services import EventService
from app.modules.observability.constants import (
HeartbeatStatus,
ObservabilityKey,
ObservabilityMetricKey,
ObservabilityStatus,
)
from app.modules.observability.models import SystemHeartbeat
from app.modules.workflows.constants import WorkflowStatus
from app.modules.workflows.service import WorkflowService
class ObservabilityService:
"""Build health, readiness, and JSON metrics for V3 operations."""
def __init__(self, db: Session):
self.db = db
def live(self) -> dict[str, str]:
return {ObservabilityKey.STATUS: ObservabilityStatus.OK}
def ready(self) -> dict[str, Any]:
checks = {
ObservabilityKey.DATABASE: self._database_check(),
ObservabilityKey.REDIS: self._redis_check(),
ObservabilityKey.EVENTS: self._events_check(),
ObservabilityKey.WORKFLOWS: self._workflows_check(),
ObservabilityKey.HEARTBEATS: self._heartbeats_check(),
}
degraded = any(
item[ObservabilityKey.STATUS]
in {ObservabilityStatus.DEGRADED, ObservabilityStatus.ERROR}
for item in checks.values()
)
return {
ObservabilityKey.STATUS: (
ObservabilityStatus.DEGRADED if degraded else ObservabilityStatus.OK
),
ObservabilityKey.CHECKS: checks,
}
def metrics(self) -> dict[str, Any]:
return {
ObservabilityKey.METRICS: {
ObservabilityKey.EVENTS: EventService(self.db).count_by_status(),
ObservabilityKey.WORKFLOWS: WorkflowService(self.db).count_by_status(),
ObservabilityKey.AI_MEMORY: AIMemoryService(self.db).count_by_status(),
ObservabilityKey.HEARTBEATS: self.heartbeat_summary(),
}
}
def record_heartbeat(
self,
component: str,
instance_id: str,
status_value: str = HeartbeatStatus.OK,
actor: str = ActorValue.SYSTEM,
) -> dict[str, Any]:
now = utc_now()
record = self.db.execute(
select(SystemHeartbeat).where(
SystemHeartbeat.component == component,
SystemHeartbeat.instance_id == instance_id,
)
).scalar_one_or_none()
if record is None:
record = SystemHeartbeat(
component=component,
instance_id=instance_id,
status=status_value,
last_seen_at=now,
)
self.db.add(record)
else:
record.status = status_value
record.last_seen_at = now
record.updated_at = now
AuditService(self.db).record(
AuditLogCreate(
actor=actor,
source=AuditSource.OBSERVABILITY,
action=AuditAction.HEARTBEAT,
target_type=AuditTargetType.HEARTBEAT,
target_id=f"{component}:{instance_id}",
risk_level=AuditRiskLevel.LOW,
response_payload={
ObservabilityMetricKey.COMPONENT: component,
ObservabilityMetricKey.INSTANCE_ID: instance_id,
ObservabilityKey.STATUS: status_value,
ObservabilityMetricKey.LAST_SEEN_AT: record.last_seen_at.isoformat(),
},
)
)
self.db.commit()
self.db.refresh(record)
return self._serialize_heartbeat(record)
def heartbeat_summary(self) -> dict[str, Any]:
records = list(self.db.execute(select(SystemHeartbeat)).scalars())
threshold = self._heartbeat_stale_threshold()
stale = [item for item in records if item.last_seen_at < threshold]
active = len(records) - len(stale)
last_seen_at = max((item.last_seen_at for item in records), default=None)
return {
ObservabilityMetricKey.TOTAL: len(records),
ObservabilityMetricKey.ACTIVE: active,
ObservabilityMetricKey.STALE: len(stale),
ObservabilityMetricKey.LAST_SEEN_AT: (
last_seen_at.isoformat() if last_seen_at else None
),
ObservabilityMetricKey.ITEMS: [
self._serialize_heartbeat(item) for item in records
],
}
def _database_check(self) -> dict[str, Any]:
try:
self.db.execute(text("select 1")).scalar()
except Exception as exc:
return {
ObservabilityKey.STATUS: ObservabilityStatus.ERROR,
ObservabilityMetricKey.ERROR: str(exc),
}
return {ObservabilityKey.STATUS: ObservabilityStatus.OK}
def _redis_check(self) -> dict[str, Any]:
settings = get_settings()
if not settings.task_queue_enabled:
return {ObservabilityKey.STATUS: ObservabilityStatus.SKIPPED}
try:
from redis import Redis
Redis.from_url(settings.redis_url, socket_connect_timeout=1).ping()
except Exception as exc:
return {
ObservabilityKey.STATUS: ObservabilityStatus.DEGRADED,
ObservabilityMetricKey.ERROR: str(exc),
}
return {ObservabilityKey.STATUS: ObservabilityStatus.OK}
def _events_check(self) -> dict[str, Any]:
counts = EventService(self.db).count_by_status()
failed = counts.get(EventStatus.FAILED, 0)
return {
ObservabilityKey.STATUS: (
ObservabilityStatus.DEGRADED if failed else ObservabilityStatus.OK
),
ObservabilityMetricKey.PENDING: counts.get(EventStatus.PENDING, 0),
ObservabilityMetricKey.FAILED: failed,
}
def _workflows_check(self) -> dict[str, Any]:
counts = WorkflowService(self.db).count_by_status()
failed = counts.get(WorkflowStatus.FAILED, 0)
return {
ObservabilityKey.STATUS: (
ObservabilityStatus.DEGRADED if failed else ObservabilityStatus.OK
),
ObservabilityMetricKey.RUNNING: counts.get(WorkflowStatus.RUNNING, 0),
ObservabilityMetricKey.FAILED: failed,
}
def _heartbeats_check(self) -> dict[str, Any]:
summary = self.heartbeat_summary()
total = summary[ObservabilityMetricKey.TOTAL]
stale = summary[ObservabilityMetricKey.STALE]
if total == 0:
return {ObservabilityKey.STATUS: ObservabilityStatus.SKIPPED}
return {
ObservabilityKey.STATUS: (
ObservabilityStatus.DEGRADED if stale else ObservabilityStatus.OK
),
ObservabilityMetricKey.TOTAL: total,
ObservabilityMetricKey.STALE: stale,
ObservabilityMetricKey.LAST_SEEN_AT: summary[
ObservabilityMetricKey.LAST_SEEN_AT
],
}
@staticmethod
def _serialize_heartbeat(record: SystemHeartbeat) -> dict[str, Any]:
return {
ObservabilityMetricKey.COMPONENT: record.component,
ObservabilityMetricKey.INSTANCE_ID: record.instance_id,
ObservabilityKey.STATUS: record.status,
ObservabilityMetricKey.LAST_SEEN_AT: record.last_seen_at.isoformat(),
}
@staticmethod
def _heartbeat_stale_threshold() -> Any:
settings = get_settings()
return utc_now() - timedelta(seconds=settings.heartbeat_interval_seconds * 3)