| 1 | from datetime import datetime |
| 2 | from enum import Enum |
| 3 | from typing import Optional |
| 4 | |
| 5 | from pydantic import BaseModel |
| 6 | from pydantic import ConfigDict |
| 7 | from pydantic import Field |
| 8 | |
| 9 | |
| 10 | class SeverityFilter(str, Enum): |
| 11 | """Severity levels for filtering""" |
| 12 | |
| 13 | OK = "ok" |
| 14 | WARNING = "warning" |
| 15 | ERROR = "error" |
| 16 | CRITICAL = "critical" |
| 17 | |
| 18 | |
| 19 | class AlertStatus(str, Enum): |
| 20 | """Alert status""" |
| 21 | |
| 22 | ACTIVE = "active" |
| 23 | CLEARED = "cleared" |
| 24 | ALL = "all" |
| 25 | |
| 26 | |
| 27 | class GetInfluxDBAlertQueryParams(BaseModel): |
| 28 | """ |
| 29 | Query parameters for getting InfluxDB alerts with filtering |
| 30 | """ |
| 31 | |
| 32 | days: int = Field(default=7, ge=1, le=90, description="Number of days to look back") |
| 33 | severity: Optional[list[SeverityFilter]] = Field(default=None, description="Filter by severity levels (can specify multiple)") |
| 34 | check_name: Optional[str] = Field(default=None, description="Filter by specific check name") |
| 35 | sensor_type: Optional[str] = Field(default=None, description="Filter by sensor type") |
| 36 | status: AlertStatus = Field(default=AlertStatus.ALL, description="Filter by alert status (active/cleared/all)") |
| 37 | latest_only: bool = Field(default=False, description="Return only the latest alert per check") |
| 38 | exclude_ok: bool = Field(default=False, description="Exclude alerts with 'ok' status") |
| 39 | limit: Optional[int] = Field(default=500, ge=1, le=1000, description="Limit the number of returned alerts") |
| 40 | |
| 41 | |
| 42 | class InfluxDBAlert(BaseModel): |
| 43 | """ |
| 44 | Single InfluxDB alert |
| 45 | """ |
| 46 | |
| 47 | time: datetime |
| 48 | check_name: str |
| 49 | sensor_type: str |
| 50 | severity: str |
| 51 | message: str |
| 52 | status: Optional[str] = None # active or cleared |
| 53 | check_id: Optional[str] = None # For internal filtering |
| 54 | model_config = ConfigDict(from_attributes=True) |
| 55 | |
| 56 | |
| 57 | class InfluxDBAlertResponse(BaseModel): |
| 58 | """ |
| 59 | Response for InfluxDB alerts query |
| 60 | """ |
| 61 | |
| 62 | success: bool |
| 63 | message: str |
| 64 | alerts: list[InfluxDBAlert] |
| 65 | total_count: int |
| 66 | filtered_count: int |
| 67 | active_alerts_count: int = 0 |
| 68 | cleared_alerts_count: int = 0 |
| 69 | model_config = ConfigDict( |
| 70 | from_attributes=True, |
| 71 | json_schema_extra={ |
| 72 | "example": { |
| 73 | "success": True, |
| 74 | "message": "Successfully retrieved alerts", |
| 75 | "alerts": [ |
| 76 | { |
| 77 | "time": "2025-12-01T10:30:00Z", |
| 78 | "check_name": "CPU CHECK", |
| 79 | "sensor_type": "CPU", |
| 80 | "severity": "warning", |
| 81 | "message": "CPU usage high", |
| 82 | "status": "active", |
| 83 | }, |
| 84 | ], |
| 85 | "total_count": 150, |
| 86 | "filtered_count": 25, |
| 87 | "active_alerts_count": 5, |
| 88 | "cleared_alerts_count": 20, |
| 89 | }, |
| 90 | }, |
| 91 | ) |
| 92 | |
| 93 | |
| 94 | class InfluxDBAlertsResponse(BaseModel): |
| 95 | alerts: list[InfluxDBAlert] |
| 96 | success: bool |
| 97 | message: str |
| 98 | |
| 99 | |
| 100 | class InfluxDBCheckNamesResponse(BaseModel): |
| 101 | """ |
| 102 | Response for available check names query |
| 103 | """ |
| 104 | |
| 105 | success: bool |
| 106 | message: str |
| 107 | check_names: list[str] |
| 108 | total_count: int |
| 109 | model_config = ConfigDict( |
| 110 | from_attributes=True, |
| 111 | json_schema_extra={ |
| 112 | "example": { |
| 113 | "success": True, |
| 114 | "message": "Successfully retrieved check names", |
| 115 | "check_names": ["CPU CHECK", "Host Offline", "Memory Usage", "Disk Space"], |
| 116 | "total_count": 4, |
| 117 | }, |
| 118 | }, |
| 119 | ) |