deb04c9315
Sprint 0 completo del producto VMS-Sailor (Vessel Management System integrado para buques 30-40m). Brief de referencia en VMS_Sailor_v2_Parte_*.md (intacto). Core (vmssailor.core, 95.17% coverage, 99 tests verde): - ShipCoord: sistema naval x_pp/y_cl/z_bl frozen - Vessel, Deck, Bulkhead - Equipment, EquipmentModel, Sensor, EquipmentSpec - Tag, AlarmConfig, TagBinding, Scaling - CardInstance, Bus, Topology con validacion 21 puntos I/O AR-NMEA-IO-v1.0 - Alarm, PermissiveRule, Condition - Project agregado raiz con validacion cross-entity - Persistencia portable .vmsproj (SQLite) con roundtrip verificable Biblioteca curada seed (vmssailor.library): - systems_catalog.json completo (catalogo maestro Parte 1 sec 7) - 2 vessels: Sunseeker 76, Ferretti 850 - 2 motores: MTU 12V 2000 M96, Volvo D13-900 - 1 genset: Northern Lights M65C13 - yacht_motor_planeo.yaml (reglas heuristicas) - TODO marcado data_source=seed_estimate - requiere validacion datasheets Tools: - vms-validate-library: CLI valida biblioteca completa - vms-generate-test-project: CLI demo + verificacion roundtrip persistencia Design System + 8 mockups HTML estaticos: - docs/design_system.md (paleta Deep Ocean, gradientes, typography, motion) - docs/brand/ (logo + variantes SVG) - docs/mockups/splash, studio_main, runtime_overview, runtime_mimic_fuel (P&ID animado), runtime_alarms, runtime_trim (panel estrella con horizonte artificial), mobile_overview, mobile_trim - docs/mockups/index.html (galeria) Firmware (Sprint 12+ implementacion): - firmware/ar_nmea_io_v1/src/config/pinout.h con macros GPIO Decisiones autonomas documentadas en docs/decisions_sprint0.md. Stack: Python 3.11 + uv + Pydantic v2 + SQLite stdlib + hatchling + pytest 9 + ruff + mypy. Sin PySide6, FastAPI, Flutter ni firmware funcional (entran en sprints siguientes). Criterio de aceptacion Sprint 0: cumplido. - uv sync: OK - pytest: 99/99 verde - cov vmssailor.core: 95.17% (objetivo >=80%) - ruff: clean - vms-validate-library: OK - vms-generate-test-project: INTEGRIDAD OK Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
155 lines
5.9 KiB
Python
155 lines
5.9 KiB
Python
"""Equipos del proyecto y modelos catalogados en la biblioteca."""
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from __future__ import annotations
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from vmssailor.core.coords import ShipCoord
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from vmssailor.core.enums import (
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AlarmPriority,
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EquipmentCategory,
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SignalType,
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SystemId,
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UnitSI,
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)
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class Sensor(BaseModel):
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"""Sensor típico que pertenece a un EquipmentModel.
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Esta es la "plantilla" del sensor declarada en la biblioteca curada.
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Cuando un proyecto instancia un Equipment, los sensores se traducen a
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`Tag`s concretos con su binding físico.
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"""
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model_config = ConfigDict(extra="forbid")
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id: str = Field(..., min_length=1, max_length=64, description="Snake_case, ej: 'oil_press'.")
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name: str = Field(..., min_length=1, max_length=128, description="Nombre humano.")
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unit_si: UnitSI = Field(default=UnitSI.NONE)
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range_normal_min: float | None = Field(
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default=None, description="Mínimo del rango normal en unidad SI."
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)
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range_normal_max: float | None = Field(
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default=None, description="Máximo del rango normal en unidad SI."
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)
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alarm_low_value: float | None = None
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alarm_low_priority: AlarmPriority | None = None
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alarm_high_value: float | None = None
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alarm_high_priority: AlarmPriority | None = None
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default_signal_type: SignalType | None = Field(
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default=None,
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description="Tipo de señal sugerido para conectar a la tarjeta.",
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)
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description: str = Field(default="", max_length=512)
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@field_validator("range_normal_max")
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@classmethod
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def _max_above_min(cls, v: float | None, info) -> float | None:
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rmin = info.data.get("range_normal_min")
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if v is not None and rmin is not None and v <= rmin:
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raise ValueError(
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"range_normal_max debe ser > range_normal_min "
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f"(min={rmin}, max={v})."
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)
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return v
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class EquipmentSpec(BaseModel):
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"""Especificaciones técnicas declarativas del modelo.
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Mapa flexible para que cada `EquipmentCategory` pueda guardar sus
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parámetros característicos (potencia para motores, capacidad para
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tanques, etc.) sin proliferar clases hijas.
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"""
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model_config = ConfigDict(extra="allow")
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power_kw: float | None = Field(default=None, ge=0.0, description="Potencia nominal [kW].")
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rpm_nominal: float | None = Field(default=None, ge=0.0, description="RPM nominales.")
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weight_kg: float | None = Field(default=None, ge=0.0, description="Peso [kg].")
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length_m: float | None = Field(default=None, ge=0.0, description="Longitud [m].")
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width_m: float | None = Field(default=None, ge=0.0, description="Ancho [m].")
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height_m: float | None = Field(default=None, ge=0.0, description="Altura [m].")
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voltage_v: float | None = Field(default=None, ge=0.0, description="Tensión nominal [V].")
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current_a: float | None = Field(default=None, ge=0.0, description="Corriente nominal [A].")
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fuel_consumption_lph: float | None = Field(
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default=None, ge=0.0, description="Consumo a régimen [L/h]."
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)
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capacity_l: float | None = Field(default=None, ge=0.0, description="Capacidad [L].")
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class EquipmentModel(BaseModel):
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"""Modelo de equipo de la biblioteca curada.
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Ejemplos: "MTU 12V 2000 M96", "Volvo D13 900hp", "Northern Lights M65C13".
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Cada modelo declara qué sensores típicamente trae, lo cual permite al
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wizard del Studio proponer tags automáticamente cuando el integrador
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selecciona ese modelo.
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"""
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model_config = ConfigDict(extra="forbid")
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id: str = Field(..., min_length=1, max_length=128)
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manufacturer: str = Field(..., min_length=1, max_length=128)
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model_name: str = Field(..., min_length=1, max_length=128)
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category: EquipmentCategory
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typical_systems: list[SystemId] = Field(
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default_factory=list,
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description="Sistemas en los que típicamente aparece este modelo.",
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)
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specs: EquipmentSpec = Field(default_factory=EquipmentSpec)
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default_sensors: list[Sensor] = Field(default_factory=list)
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description: str = Field(default="", max_length=2048)
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data_source: str = Field(
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default="seed_estimate",
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description=(
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"'seed_estimate' | 'manufacturer_datasheet' | 'field_measured' | 'user_input'. "
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"Ver docs/seed_data_notes.md."
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),
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)
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@field_validator("default_sensors")
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@classmethod
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def _sensors_unique_ids(cls, v: list[Sensor]) -> list[Sensor]:
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ids = [s.id for s in v]
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if len(ids) != len(set(ids)):
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raise ValueError("Sensor IDs deben ser únicos dentro de un EquipmentModel.")
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return v
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class Equipment(BaseModel):
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"""Instancia concreta de un equipo dentro de un proyecto.
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Por ejemplo: el "Motor principal babor" del Sunseeker 76 del Sr. Pérez es
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una instancia `Equipment` con `tag_prefix='ME_PORT'` que referencia al
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`EquipmentModel` 'mtu_12v_2000_m96'.
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"""
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model_config = ConfigDict(extra="forbid")
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id: str = Field(..., min_length=1, max_length=128, description="UUID o snake_case único.")
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model_ref: str = Field(
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...,
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min_length=1,
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max_length=128,
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description="`EquipmentModel.id` referenciado.",
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)
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tag_prefix: str = Field(
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...,
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min_length=1,
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max_length=32,
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pattern=r"^[A-Z][A-Z0-9_]*$",
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description="Prefijo de tags del equipo, MAYÚSCULAS: ME_PORT, GEN_1, BILGE_PUMP_FWD.",
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)
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display_name: str = Field(..., min_length=1, max_length=128)
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location: ShipCoord
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deck_id: str | None = Field(default=None, description="ID de la Deck donde está montado.")
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system_id: SystemId = Field(..., description="Sistema al que pertenece este equipo.")
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description: str = Field(default="", max_length=1024)
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installed: bool = Field(
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default=True,
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description="Si False, el equipo está planeado pero no instalado todavía.",
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)
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