Bruno Charest
6d8432169b
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89 lines
4.5 KiB
Python
89 lines
4.5 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import DateTime, Float, ForeignKey, Integer, JSON, String, Text, Index
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from sqlalchemy.sql import func
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from .database import Base
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class HostMetrics(Base):
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"""Stocke les métriques collectées par les builtin playbooks pour chaque hôte."""
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__tablename__ = "host_metrics"
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__table_args__ = (
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Index("idx_host_metrics_host_id", "host_id"),
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Index("idx_host_metrics_collected_at", "collected_at"),
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Index("idx_host_metrics_metric_type", "metric_type"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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host_id: Mapped[str] = mapped_column(String, ForeignKey("hosts.id", ondelete="CASCADE"), nullable=False)
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metric_type: Mapped[str] = mapped_column(String(50), nullable=False) # 'system_info', 'disk_usage', 'memory', etc.
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# Métriques CPU
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cpu_count: Mapped[Optional[int]] = mapped_column(Integer)
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cpu_model: Mapped[Optional[str]] = mapped_column(String(200))
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cpu_cores: Mapped[Optional[int]] = mapped_column(Integer)
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cpu_threads: Mapped[Optional[int]] = mapped_column(Integer)
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cpu_threads_per_core: Mapped[Optional[int]] = mapped_column(Integer)
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cpu_sockets: Mapped[Optional[int]] = mapped_column(Integer)
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cpu_mhz: Mapped[Optional[float]] = mapped_column(Float)
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cpu_max_mhz: Mapped[Optional[float]] = mapped_column(Float)
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cpu_min_mhz: Mapped[Optional[float]] = mapped_column(Float)
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cpu_load_1m: Mapped[Optional[float]] = mapped_column(Float)
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cpu_load_5m: Mapped[Optional[float]] = mapped_column(Float)
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cpu_load_15m: Mapped[Optional[float]] = mapped_column(Float)
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cpu_usage_percent: Mapped[Optional[float]] = mapped_column(Float)
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cpu_temperature: Mapped[Optional[float]] = mapped_column(Float)
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# Métriques mémoire
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memory_total_mb: Mapped[Optional[int]] = mapped_column(Integer)
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memory_used_mb: Mapped[Optional[int]] = mapped_column(Integer)
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memory_free_mb: Mapped[Optional[int]] = mapped_column(Integer)
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memory_usage_percent: Mapped[Optional[float]] = mapped_column(Float)
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swap_total_mb: Mapped[Optional[int]] = mapped_column(Integer)
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swap_used_mb: Mapped[Optional[int]] = mapped_column(Integer)
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swap_usage_percent: Mapped[Optional[float]] = mapped_column(Float)
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# Métriques disque (stockées en JSON pour flexibilité - plusieurs disques)
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disk_info: Mapped[Optional[object]] = mapped_column(JSON) # Liste des points de montage avec usage
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disk_devices: Mapped[Optional[object]] = mapped_column(JSON) # Liste des disques + partitions (layout)
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disk_root_total_gb: Mapped[Optional[float]] = mapped_column(Float)
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disk_root_used_gb: Mapped[Optional[float]] = mapped_column(Float)
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disk_root_usage_percent: Mapped[Optional[float]] = mapped_column(Float)
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# Storage stacks (JSON)
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lvm_info: Mapped[Optional[object]] = mapped_column(JSON)
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zfs_info: Mapped[Optional[object]] = mapped_column(JSON)
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# Stockage détaillé (JSON) - données normalisées avec métadonnées de collecte
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storage_details: Mapped[Optional[dict]] = mapped_column(JSON)
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# Informations système
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os_name: Mapped[Optional[str]] = mapped_column(String(100))
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os_version: Mapped[Optional[str]] = mapped_column(String(100))
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kernel_version: Mapped[Optional[str]] = mapped_column(String(100))
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hostname: Mapped[Optional[str]] = mapped_column(String(200))
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uptime_seconds: Mapped[Optional[int]] = mapped_column(Integer)
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uptime_human: Mapped[Optional[str]] = mapped_column(String(100))
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# Réseau (stocké en JSON pour flexibilité)
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network_info: Mapped[Optional[dict]] = mapped_column(JSON)
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# Données brutes et métadonnées
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raw_data: Mapped[Optional[dict]] = mapped_column(JSON) # Données brutes du playbook
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collection_source: Mapped[Optional[str]] = mapped_column(String(100)) # Nom du builtin playbook
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collection_duration_ms: Mapped[Optional[int]] = mapped_column(Integer)
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error_message: Mapped[Optional[str]] = mapped_column(Text)
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collected_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, server_default=func.now())
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, server_default=func.now())
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host: Mapped["Host"] = relationship("Host", back_populates="metrics")
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def __repr__(self) -> str:
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return f"<HostMetrics id={self.id} host_id={self.host_id} type={self.metric_type}>"
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