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新增两种日志来源（cicd / deployment），使日志中台覆盖"构建→部署→运行"全链路： 后端变更： - models.py: 新增 LogSource 枚举和 source 字段，file_path/line_number 改为可选 - main.py: 按来源生成不同指纹策略，所有查询端点支持 source 筛选，仪表盘新增来源分布统计 - database.py: 新增 4 条迁移 SQL（source 字段、索引、字段可空） - task_manager.py: 修复 Agent 仅拉取 runtime 来源的缺陷 新增组件： - k8s-monitor/: K8s Pod 健康监控脚本（Python），每 5 分钟检测异常 Pod 并上报 - k8s/monitor-cronjob.yaml: CronJob + RBAC 部署清单 - scripts/report-cicd-error.sh: CI/CD 错误上报 Bash 脚本 - scripts/gitea-actions-example.yaml: Gitea Actions 集成示例 前端变更： - api.ts: 类型定义更新，支持 source 字段 - BugList.tsx: 新增来源筛选标签页和来源列 - BugDetail.tsx: 按来源条件渲染（CI/CD 信息、部署信息），非 runtime 禁用修复按钮 - Dashboard.tsx: 新增来源分布表格 - index.css: 来源标签样式（source-badge） Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
110 lines
3.2 KiB
Python
110 lines
3.2 KiB
Python
from datetime import datetime
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from typing import Optional, Dict, List
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from sqlmodel import SQLModel, Field, Column, JSON, Text
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from enum import Enum
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class LogSource(str, Enum):
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RUNTIME = "runtime"
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CICD = "cicd"
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DEPLOYMENT = "deployment"
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class LogStatus(str, Enum):
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NEW = "NEW"
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VERIFYING = "VERIFYING"
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CANNOT_REPRODUCE = "CANNOT_REPRODUCE"
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PENDING_FIX = "PENDING_FIX"
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FIXING = "FIXING"
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FIXED = "FIXED"
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VERIFIED = "VERIFIED"
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DEPLOYED = "DEPLOYED"
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FIX_FAILED = "FIX_FAILED"
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class ErrorLog(SQLModel, table=True):
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id: Optional[int] = Field(default=None, primary_key=True)
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project_id: str = Field(index=True)
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environment: str
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level: str
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# Source
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source: str = Field(default="runtime", index=True)
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# Error Details
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error_type: str
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error_message: str
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file_path: Optional[str] = None
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line_number: Optional[int] = None
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stack_trace: str = Field(sa_column=Column(JSON)) # Store full stack trace
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# Context
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context: Dict = Field(default={}, sa_column=Column(JSON))
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# Versioning
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version: Optional[str] = None
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commit_hash: Optional[str] = None
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# Meta
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timestamp: datetime = Field(default_factory=datetime.utcnow)
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fingerprint: str = Field(unique=True, index=True) # project_id + error_type + file_path + line_number
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# Status Tracking
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status: LogStatus = Field(default=LogStatus.NEW)
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retry_count: int = Field(default=0)
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# Relationships could be added here (e.g., to a RepairTask table if 1:N)
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# For simplicity, we track status on the Log itself for now.
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# Pydantic Models for API
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class ErrorLogCreate(SQLModel):
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project_id: str
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environment: str
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level: str
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timestamp: Optional[datetime] = None
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version: Optional[str] = None
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commit_hash: Optional[str] = None
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source: str = "runtime"
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error: Dict # {type, message, file_path, line_number, stack_trace}
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context: Optional[Dict] = {}
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class TaskStatusUpdate(SQLModel):
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status: LogStatus
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message: Optional[str] = None
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class RepairTask(SQLModel, table=True):
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"""Record of a repair attempt"""
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id: Optional[int] = Field(default=None, primary_key=True)
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error_log_id: int = Field(foreign_key="errorlog.id")
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status: LogStatus
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project_id: str
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# Repair Details
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ai_analysis: str = Field(sa_column=Column(Text)) # Analysis from LLM
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fix_plan: str = Field(sa_column=Column(Text)) # Proposed fix plan
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code_diff: str = Field(sa_column=Column(Text)) # Git diff
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modified_files: List[str] = Field(sa_column=Column(JSON))
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# Test Results
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test_output: str = Field(sa_column=Column(Text))
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test_passed: bool
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# Repair Round Tracking
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repair_round: int = Field(default=1) # Which round (1, 2, 3...)
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failure_reason: Optional[str] = Field(default=None, sa_column=Column(Text, nullable=True))
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created_at: datetime = Field(default_factory=datetime.utcnow)
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class RepairTaskCreate(SQLModel):
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"""Schema for creating a repair report via API"""
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error_log_id: int
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status: LogStatus
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project_id: str
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ai_analysis: str
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fix_plan: str
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code_diff: str
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modified_files: List[str]
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test_output: str
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test_passed: bool
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repair_round: int = 1
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failure_reason: Optional[str] = None
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