alro65
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>
81 lines
2.7 KiB
Python
81 lines
2.7 KiB
Python
"""Tests de integridad de la biblioteca seed."""
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from __future__ import annotations
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from vmssailor.core.enums import EquipmentCategory, SystemId
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from vmssailor.library import load_library, load_systems_catalog
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def test_systems_catalog_loads() -> None:
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cat = load_systems_catalog()
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assert "categories" in cat
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assert len(cat["categories"]) >= 10 # 11 categorías mínimo
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def test_systems_catalog_covers_all_enum_values() -> None:
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cat = load_systems_catalog()
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json_ids = set()
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for c in cat["categories"]:
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for s in c["systems"]:
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json_ids.add(s["id"])
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enum_ids = {s.value for s in SystemId}
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missing_in_json = enum_ids - json_ids
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missing_in_enum = json_ids - enum_ids
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assert not missing_in_json, f"SystemId enum tiene valores no en catálogo: {missing_in_json}"
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assert not missing_in_enum, f"Catálogo tiene IDs no en SystemId enum: {missing_in_enum}"
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def test_library_loads_without_errors() -> None:
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result = load_library()
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assert result.ok(), f"Biblioteca con errores: {result.errors}"
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def test_library_has_minimum_seed() -> None:
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result = load_library()
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vessel_ids = {v.id for v in result.vessels}
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assert "sunseeker_76" in vessel_ids
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assert "ferretti_850" in vessel_ids
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eq_ids = {e.id for e in result.equipment_models}
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assert "mtu_12v_2000_m96" in eq_ids
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assert "volvo_d13_900hp" in eq_ids
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assert "northern_lights_m65c13" in eq_ids
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def test_seed_engines_are_engine_main() -> None:
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result = load_library()
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for em in result.equipment_models:
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if em.id.startswith("mtu_") or em.id.startswith("volvo_"):
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assert em.category == EquipmentCategory.ENGINE_MAIN, em.id
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def test_seed_genset_category() -> None:
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result = load_library()
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nl = next(e for e in result.equipment_models if e.id == "northern_lights_m65c13")
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assert nl.category == EquipmentCategory.GENSET
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def test_rules_yacht_motor_planeo_present() -> None:
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result = load_library()
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assert "yacht_motor_planeo" in result.rules
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def test_rules_reference_existing_equipment_models() -> None:
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result = load_library()
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# Filtrar warnings que no son del cross-ref
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cross_ref_warns = [
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w
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for w in result.warnings
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if "no existe en equipment_models" in w.message
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]
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assert not cross_ref_warns, f"Rules con model_ref roto: {cross_ref_warns}"
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def test_seed_marked_as_estimate() -> None:
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"""Todos los archivos seed deben venir marcados como seed_estimate."""
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result = load_library()
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for v in result.vessels:
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assert v.data_source == "seed_estimate", v.id
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for em in result.equipment_models:
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assert em.data_source == "seed_estimate", em.id
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